diff options
Diffstat (limited to 'src/statisticsFunctions')
115 files changed, 0 insertions, 17038 deletions
diff --git a/src/statisticsFunctions/Makefile.am b/src/statisticsFunctions/Makefile.am deleted file mode 100644 index 9282229d..00000000 --- a/src/statisticsFunctions/Makefile.am +++ /dev/null @@ -1,18 +0,0 @@ -## -## Scilab ( http://www.scilab.org/ ) - This file is part of Scilab -## Copyright (C) 2006-2008 - INRIA - Bruno JOFRET -## -## This file must be used under the terms of the CeCILL. -## This source file is licensed as described in the file COPYING, which -## you should have received as part of this distribution. The terms -## are also available at -## http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt -## -## - -SUBDIRS= mean \ - sum\ - variance\ - prod\ - min\ - max diff --git a/src/statisticsFunctions/Makefile.in b/src/statisticsFunctions/Makefile.in deleted file mode 100644 index 43b1c6a1..00000000 --- a/src/statisticsFunctions/Makefile.in +++ /dev/null @@ -1,489 +0,0 @@ -# Makefile.in generated by automake 1.10.1 from Makefile.am. -# @configure_input@ - -# Copyright (C) 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, -# 2003, 2004, 2005, 2006, 2007, 2008 Free Software Foundation, Inc. -# This Makefile.in is free software; the Free Software Foundation -# gives unlimited permission to copy and/or distribute it, -# with or without modifications, as long as this notice is preserved. - -# This program is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY, to the extent permitted by law; without -# even the implied warranty of MERCHANTABILITY or FITNESS FOR A -# PARTICULAR PURPOSE. - 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-* Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
-* Copyright (C) 2009 - DIGITEO - Allan CORNET
-*
-* This file must be used under the terms of the CeCILL.
-* This source file is licensed as described in the file COPYING, which
-* you should have received as part of this distribution. The terms
-* are also available at
-* http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
-*
-*/
-
-#ifndef __DYNLIB_STATISTICSFUNCTIONS_H__
-#define __DYNLIB_STATISTICSFUNCTIONS_H__
-
-#ifdef _MSC_VER
- #if STATISTICSFUNCTIONS_EXPORTS
- #define EXTERN_STATFUNC __declspec (dllexport)
- #else
- #define EXTERN_STATFUNC __declspec (dllimport)
- #endif
-#else
- #define EXTERN_STATFUNC
-#endif
-
-#endif /* __DYNLIB_STATISTICSFUNCTIONS_H__ */
\ No newline at end of file diff --git a/src/statisticsFunctions/includes/mean.h b/src/statisticsFunctions/includes/mean.h deleted file mode 100644 index d87c4ca5..00000000 --- a/src/statisticsFunctions/includes/mean.h +++ /dev/null @@ -1,99 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#ifndef __MEAN_H__ -#define __MEAN_H__ - -#include "dynlib_statisticsfunctions.h" -#include "division.h" -#include "addition.h" - -#ifdef __cplusplus -extern "C" { -#endif -/* -** \brief Mean of a scalar element, just returns it -*/ -#define smeans(in) in -#define srowmeans(in) in -#define scolumnmeans(in) in -#define smatlabmeans(in) in - -/* -** \brief Mean of a scalar element, just returns it -*/ -#define dmeans(in) in -#define drowmeans(in) in -#define dcolumnmeans(in) in -#define dmatlabmeans(in) in - -/* -** \brief Mean of a scalar element, just returns it -*/ -#define cmeans(in) in -#define crowmeans(in) in -#define ccolumnmeans(in) in -#define cmatlabmeans(in) in - -/* -** \brief Mean of a scalar element, just returns it -*/ -#define zmeans(in) in -#define zrowmeans(in) in -#define zcolumnmeans(in) in -#define zmatlabmeans(in) in - -/* -** \brief Mean of a float array -** \param in the float array to process -** \param size, the size of the array -** \returns the mean. -*/ -EXTERN_STATFUNC float smeana(float *in, int size); -EXTERN_STATFUNC void srowmeana(float *in, int lines, int columns, float* out); -EXTERN_STATFUNC void scolumnmeana(float *in, int lines, int columns, float* out); - -/* -** \brief Mean of a double array -** \param in the double array to process -** \param size, the size of the array -** \returns the mean. -*/ -EXTERN_STATFUNC double dmeana(double *in, int size); -EXTERN_STATFUNC void drowmeana(double *in, int lines, int columns, double* out); -EXTERN_STATFUNC void dcolumnmeana(double *in, int lines, int columns, double* out); - -/* -** \brief Mean of a float complex array -** \param in the float array to process -** \param size, the size of the array -** \returns the mean. -*/ -EXTERN_STATFUNC floatComplex cmeana(floatComplex *in, int size); -EXTERN_STATFUNC void crowmeana(floatComplex *in, int lines, int columns, floatComplex* out); -EXTERN_STATFUNC void ccolumnmeana(floatComplex *in, int lines, int columns, floatComplex* out); - -/* -** \brief Mean of a double complex array -** \param in the double array to process -** \param size, the size of the array -** \returns the mean. -*/ -EXTERN_STATFUNC doubleComplex zmeana(doubleComplex *in, int size); -EXTERN_STATFUNC void zrowmeana(doubleComplex *in, int lines, int columns, doubleComplex* out); -EXTERN_STATFUNC void zcolumnmeana(doubleComplex *in, int lines, int columns, doubleComplex* out); - -#ifdef __cplusplus -} /* extern "C" */ -#endif - -#endif /* !__MEAN_H__ */ diff --git a/src/statisticsFunctions/includes/prod.h b/src/statisticsFunctions/includes/prod.h deleted file mode 100644 index a5fde84c..00000000 --- a/src/statisticsFunctions/includes/prod.h +++ /dev/null @@ -1,100 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#ifndef __PROD_H__ -#define __PROD_H__ - -#include "dynlib_statisticsfunctions.h" -#include "floatComplex.h" -#include "doubleComplex.h" - -#ifdef __cplusplus -extern "C" { -#endif -/* -** \brief Sum of a scalar element, just returns it -*/ -#define sprods(in) in -#define srowprods(in) in -#define scolumnprods(in) in -#define smatlabprods(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define dprods(in) in -#define drowprods(in) in -#define dcolumnprods(in) in -#define dmatlabprods(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define cprods(in) in -#define crowprods(in) in -#define ccolumnprods(in) in -#define cmatlabprods(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define zprods(in) in -#define zrowprods(in) in -#define zcolumnprods(in) in -#define zmatlabprods(in) in - -/* -** \brief Sum of a float array -** \param in the float array to process -** \param size, the size of the array -** \returns the prod. -*/ -EXTERN_STATFUNC float sproda(float *in, int size); -EXTERN_STATFUNC void srowproda(float *in, int lines, int columns, float* out); -EXTERN_STATFUNC void scolumnproda(float *in, int lines, int columns, float* out); - -/* -** \brief Sum of a double array -** \param in the double array to process -** \param size, the size of the array -** \returns the prod. -*/ -EXTERN_STATFUNC double dproda(double *in, int size); -EXTERN_STATFUNC void drowproda(double *in, int lines, int columns, double* out); -EXTERN_STATFUNC void dcolumnproda(double *in, int lines, int columns, double* out); - -/* -** \brief Sum of a float complex array -** \param in the float array to process -** \param size, the size of the array -** \returns the prod. -*/ -EXTERN_STATFUNC floatComplex cproda(floatComplex *in, int size); -EXTERN_STATFUNC void crowproda(floatComplex *in, int lines, int columns, floatComplex* out); -EXTERN_STATFUNC void ccolumnproda(floatComplex *in, int lines, int columns, floatComplex* out); - -/* -** \brief Sum of a double complex array -** \param in the double array to process -** \param size, the size of the array -** \returns the prod. -*/ -EXTERN_STATFUNC doubleComplex zproda(doubleComplex *in, int size); -EXTERN_STATFUNC void zrowproda(doubleComplex *in, int lines, int columns, doubleComplex* out); -EXTERN_STATFUNC void zcolumnproda(doubleComplex *in, int lines, int columns, doubleComplex* out); - -#ifdef __cplusplus -} /* extern "C" */ -#endif - - -#endif /* !__PROD_H__ */ diff --git a/src/statisticsFunctions/includes/statMax.h b/src/statisticsFunctions/includes/statMax.h deleted file mode 100644 index 3538bc1a..00000000 --- a/src/statisticsFunctions/includes/statMax.h +++ /dev/null @@ -1,63 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#ifndef __STAT_MAX_H__ -#define __STAT_MAX_H__ - -#include "dynlib_statisticsfunctions.h" - -#ifdef __cplusplus -extern "C" { -#endif - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define smaxs(in) in -#define srowmaxs(in) in -#define scolumnmaxs(in) in -#define smatlabmaxs(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define dmaxs(in) in -#define drowmaxs(in) in -#define dcolumnmaxs(in) in -#define dmatlabmaxs(in) in - -/* -** \brief Sum of a float array -** \param in the float array to process -** \param size, the size of the array -** \returns the max. -*/ -EXTERN_STATFUNC float smaxa(float *in, int size); -EXTERN_STATFUNC void srowmaxa(float *in, int lines, int columns, float* out); -EXTERN_STATFUNC void scolumnmaxa(float *in, int lines, int columns, float* out); - -/* -** \brief Sum of a double array -** \param in the double array to process -** \param size, the size of the array -** \returns the max. -*/ -EXTERN_STATFUNC double dmaxa(double *in, int size); -EXTERN_STATFUNC void drowmaxa(double *in, int lines, int columns, double* out); -EXTERN_STATFUNC void dcolumnmaxa(double *in, int lines, int columns, double* out); - -#ifdef __cplusplus -} /* extern "C" */ -#endif - - -#endif /* !__STAT_MAX_H__ */ diff --git a/src/statisticsFunctions/includes/statMin.h b/src/statisticsFunctions/includes/statMin.h deleted file mode 100644 index 9528d9f4..00000000 --- a/src/statisticsFunctions/includes/statMin.h +++ /dev/null @@ -1,63 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#ifndef __STAT_MIN_H__ -#define __STAT_MIN_H__ - -#include "dynlib_statisticsfunctions.h" - -#ifdef __cplusplus -extern "C" { -#endif - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define smins(in) in -#define srowmins(in) in -#define scolumnmins(in) in -#define smatlabmins(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define dmins(in) in -#define drowmins(in) in -#define dcolumnmins(in) in -#define dmatlabmins(in) in - -/* -** \brief Sum of a float array -** \param in the float array to process -** \param size, the size of the array -** \returns the min. -*/ -EXTERN_STATFUNC float smina(float *in, int size); -EXTERN_STATFUNC void srowmina(float *in, int lines, int columns, float* out); -EXTERN_STATFUNC void scolumnmina(float *in, int lines, int columns, float* out); - -/* -** \brief Sum of a double array -** \param in the double array to process -** \param size, the size of the array -** \returns the min. -*/ -EXTERN_STATFUNC double dmina(double *in, int size); -EXTERN_STATFUNC void drowmina(double *in, int lines, int columns, double* out); -EXTERN_STATFUNC void dcolumnmina(double *in, int lines, int columns, double* out); - -#ifdef __cplusplus -} /* extern "C" */ -#endif - - -#endif /* !__STAT_MIN_H__ */ diff --git a/src/statisticsFunctions/includes/sum.h b/src/statisticsFunctions/includes/sum.h deleted file mode 100644 index 2910792e..00000000 --- a/src/statisticsFunctions/includes/sum.h +++ /dev/null @@ -1,102 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#ifndef __SUM_H__ -#define __SUM_H__ - -#include "dynlib_statisticsfunctions.h" -#include "floatComplex.h" -#include "doubleComplex.h" -#include "addition.h" - -#ifdef __cplusplus -extern "C" { -#endif - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define ssums(in) in -#define srowsums(in) in -#define scolumnsums(in) in -#define smatlabsums(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define dsums(in) in -#define drowsums(in) in -#define dcolumnsums(in) in -#define dmatlabsums(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define csums(in) in -#define crowsums(in) in -#define ccolumnsums(in) in -#define cmatlabsums(in) in - -/* -** \brief Sum of a scalar element, just returns it -*/ -#define zsums(in) in -#define zrowsums(in) in -#define zcolumnsums(in) in -#define zmatlabsums(in) in - -/* -** \brief Sum of a float array -** \param in the float array to process -** \param size, the size of the array -** \returns the sum. -*/ -EXTERN_STATFUNC float ssuma(float *in, int size); -EXTERN_STATFUNC void srowsuma(float *in, int lines, int columns, float* out); -EXTERN_STATFUNC void scolumnsuma(float *in, int lines, int columns, float* out); - -/* -** \brief Sum of a double array -** \param in the double array to process -** \param size, the size of the array -** \returns the sum. -*/ -EXTERN_STATFUNC double dsuma(double *in, int size); -EXTERN_STATFUNC void drowsuma(double *in, int lines, int columns, double* out); -EXTERN_STATFUNC void dcolumnsuma(double *in, int lines, int columns, double* out); - -/* -** \brief Sum of a float complex array -** \param in the float array to process -** \param size, the size of the array -** \returns the sum. -*/ -EXTERN_STATFUNC floatComplex csuma(floatComplex *in, int size); -EXTERN_STATFUNC void crowsuma(floatComplex *in, int lines, int columns, floatComplex* out); -EXTERN_STATFUNC void ccolumnsuma(floatComplex *in, int lines, int columns, floatComplex* out); - -/* -** \brief Sum of a double complex array -** \param in the double array to process -** \param size, the size of the array -** \returns the sum. -*/ -EXTERN_STATFUNC doubleComplex zsuma(doubleComplex *in, int size); -EXTERN_STATFUNC void zrowsuma(doubleComplex *in, int lines, int columns, doubleComplex* out); -EXTERN_STATFUNC void zcolumnsuma(doubleComplex *in, int lines, int columns, doubleComplex* out); - - -#ifdef __cplusplus -} /* extern "C" */ -#endif - -#endif /* !__SUM_H__ */ diff --git a/src/statisticsFunctions/includes/variance.h b/src/statisticsFunctions/includes/variance.h deleted file mode 100644 index a058bb75..00000000 --- a/src/statisticsFunctions/includes/variance.h +++ /dev/null @@ -1,117 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#ifndef __VARIANCE_H__ -#define __VARIANCE_H__ - -#include <stdio.h> -#include <stdlib.h> -#include <math.h> - - -#include "dynlib_statisticsfunctions.h" -#include "subtraction.h" -#include "division.h" - -#include "pow.h" -#include "sum.h" - -#include "mean.h" -#include "matrixTranspose.h" - - -#ifdef __cplusplus -extern "C" { -#endif - - - - - -/* -** \brief Variance of a scalar element, just returns it -*/ -#define svariances(in) in -#define srowvariances(in) in -#define scolumnvariances(in) in - - -/* -** \brief Variance of a scalar element, just returns it -*/ -#define dvariances(in) in -#define drowvariances(in) in -#define dcolumnvariances(in) in - - -/* -** \brief Variance of a scalar element, just returns it -*/ -#define cvariances(in) in -#define crowvariances(in) in -#define ccolumnvariances(in) in - - -/* -** \brief Variance of a scalar element, just returns it -*/ -#define zvariances(in) in -#define zrowvariances(in) in -#define zcolumnvariances(in) in - - -/* -** \brief Variance of a float array -** \param in the float array to process -** \param size, the size of the array -** \returns the variance. -*/ -EXTERN_STATFUNC float svariancea(float *in, int size); -EXTERN_STATFUNC void srowvariancea(float *in, int lines, int columns, float* out); -EXTERN_STATFUNC void scolumnvariancea(float *in, int lines, int columns, float* out); - -/* -** \brief Variance of a double array -** \param in the double array to process -** \param size, the size of the array -** \returns the variance. -*/ -EXTERN_STATFUNC double dvariancea(double *in, int size); -EXTERN_STATFUNC void drowvariancea(double *in, int lines, int columns, double* out); -EXTERN_STATFUNC void dcolumnvariancea(double *in, int lines, int columns, double* out); - -/* -** \brief Variance of a float complex array -** \param in the float array to process -** \param size, the size of the array -** \returns the variance. -*/ -EXTERN_STATFUNC floatComplex cvariancea(floatComplex *in, int size); -EXTERN_STATFUNC void crowvariancea(floatComplex *in, int lines, int columns, floatComplex* out); -EXTERN_STATFUNC void ccolumnvariancea(floatComplex *in, int lines, int columns, floatComplex* out); - -/* -** \brief Variance of a double complex array -** \param in the double array to process -** \param size, the size of the array -** \returns the variance. -*/ -EXTERN_STATFUNC doubleComplex zvariancea(doubleComplex *in, int size); -EXTERN_STATFUNC void zrowvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out); -EXTERN_STATFUNC void zcolumnvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out); - -#ifdef __cplusplus -} /* extern "C" */ -#endif - - -#endif /* !__VARIANCE_H__ */ diff --git a/src/statisticsFunctions/interfaces/int_mean.h b/src/statisticsFunctions/interfaces/int_mean.h deleted file mode 100644 index bf196539..00000000 --- a/src/statisticsFunctions/interfaces/int_mean.h +++ /dev/null @@ -1,55 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */ - -#ifndef __INT_MEAN_H__ -#define __INT_MEAN_H__ - -#define s0means0(in) smeans(in) - -#define d0meand0(in) dmeans(in) - -#define c0meanc0(in) cmeans(in) - -#define z0meanz0(in) zmeans(in) - -#define s2means0(in,size) smeana(in, size[0]*size[1]) - -#define d2meand0(in,size) dmeana(in, size[0]*size[1]) - -#define c2meanc0(in,size) cmeana(in, size[0]*size[1]) - -#define z2meanz0(in,size) zmeana(in, size[0]*size[1]) - - -#define s0s0means0(in1,in2) (in2==1) ? srowmeans(in1) : scolumnmeans(in1) - -#define d0d0meand0(in1,in2) (in2==1) ? drowmeans(in1) : dcolumnmeans(in1) - -#define c0s0meanc0(in1,in2) (in2==1) ? crowmeans(in1) : ccolumnmeans(in1) - -#define z0d0meanz0(in1,in2) (in2==1) ? zrowmeans(in1) : zcolumnmeans(in1) - -#define s2s0means2(in1,size,in2,out) (in2==1) ? srowmeana(in1,size[0],size[1],out) : scolumnmeana(in1,size[0],size[1],out) - -#define d2d0meand2(in1,size,in2,out) (in2==1) ? drowmeana(in1,size[0],size[1],out) : dcolumnmeana(in1,size[0],size[1],out) - -#define c2s0meanc2(in1,size,in2,out) (in2==1) ? crowmeana(in1,size[0],size[1],out) : ccolumnmeana(in1,size[0],size[1],out) - -#define z2d0meanz2(in1,size,in2,out) (in2==1) ? zrowmeana(in1,size[0],size[1],out) : zcolumnmeana(in1,size[0],size[1],out) - - - - - -#endif /* !__INT_MEAN_H__ */ diff --git a/src/statisticsFunctions/interfaces/int_prod.h b/src/statisticsFunctions/interfaces/int_prod.h deleted file mode 100644 index cad1a740..00000000 --- a/src/statisticsFunctions/interfaces/int_prod.h +++ /dev/null @@ -1,55 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */ - -#ifndef __INT_PROD_H__ -#define __INT_PROD_H__ - -#define s0prods0(in) sprods(in) - -#define d0prodd0(in) dprods(in) - -#define c0prodc0(in) cprods(in) - -#define z0prodz0(in) zprods(in) - -#define s2prods0(in,size) sproda(in, size[0]*size[1]) - -#define d2prodd0(in,size) dproda(in, size[0]*size[1]) - -#define c2prodc0(in,size) cproda(in, size[0]*size[1]) - -#define z2prodz0(in,size) zproda(in, size[0]*size[1]) - - -#define s0s0prods0(in1,in2) (in2==1) ? srowprods(in1) : scolumnprods(in1) - -#define d0d0prodd0(in1,in2) (in2==1) ? drowprods(in1) : dcolumnprods(in1) - -#define c0s0prodc0(in1,in2) (in2==1) ? crowprods(in1) : ccolumnprods(in1) - -#define z0d0prodz0(in1,in2) (in2==1) ? zrowprods(in1) : zcolumnprods(in1) - -#define s2s0prods2(in1,size,in2,out) (in2==1) ? srowproda(in1,size[0],size[1],out) : scolumnproda(in1,size[0],size[1],out) - -#define d2d0prodd2(in1,size,in2,out) (in2==1) ? drowproda(in1,size[0],size[1],out) : dcolumnproda(in1,size[0],size[1],out) - -#define c2s0prodc2(in1,size,in2,out) (in2==1) ? crowproda(in1,size[0],size[1],out) : ccolumnproda(in1,size[0],size[1],out) - -#define z2d0prodz2(in1,size,in2,out) (in2==1) ? zrowproda(in1,size[0],size[1],out) : zcolumnproda(in1,size[0],size[1],out) - - - - - -#endif /* !__INT_PROD_H__ */ diff --git a/src/statisticsFunctions/interfaces/int_sum.h b/src/statisticsFunctions/interfaces/int_sum.h deleted file mode 100644 index 4a6240ea..00000000 --- a/src/statisticsFunctions/interfaces/int_sum.h +++ /dev/null @@ -1,55 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */ - -#ifndef __INT_SUM_H__ -#define __INT_SUM_H__ - -#define s0sums0(in) ssums(in) - -#define d0sumd0(in) dsums(in) - -#define c0sumc0(in) csums(in) - -#define z0sumz0(in) zsums(in) - -#define s2sums0(in,size) ssuma(in, size[0]*size[1]) - -#define d2sumd0(in,size) dsuma(in, size[0]*size[1]) - -#define c2sumc0(in,size) csuma(in, size[0]*size[1]) - -#define z2sumz0(in,size) zsuma(in, size[0]*size[1]) - - -#define s0s0sums0(in1,in2) (in2==1) ? srowsums(in1) : scolumnsums(in1) - -#define d0d0sumd0(in1,in2) (in2==1) ? drowsums(in1) : dcolumnsums(in1) - -#define c0s0sumc0(in1,in2) (in2==1) ? crowsums(in1) : ccolumnsums(in1) - -#define z0d0sumz0(in1,in2) (in2==1) ? zrowsums(in1) : zcolumnsums(in1) - -#define s2s0sums2(in1,size,in2,out) (in2==1) ? srowsuma(in1,size[0],size[1],out) : scolumnsuma(in1,size[0],size[1],out) - -#define d2d0sumd2(in1,size,in2,out) (in2==1) ? drowsuma(in1,size[0],size[1],out) : dcolumnsuma(in1,size[0],size[1],out) - -#define c2s0sumc2(in1,size,in2,out) (in2==1) ? crowsuma(in1,size[0],size[1],out) : ccolumnsuma(in1,size[0],size[1],out) - -#define z2d0sumz2(in1,size,in2,out) (in2==1) ? zrowsuma(in1,size[0],size[1],out) : zcolumnsuma(in1,size[0],size[1],out) - - - - - -#endif /* !__INT_SUM_H__ */ diff --git a/src/statisticsFunctions/interfaces/int_variance.h b/src/statisticsFunctions/interfaces/int_variance.h deleted file mode 100644 index 5b30d5bb..00000000 --- a/src/statisticsFunctions/interfaces/int_variance.h +++ /dev/null @@ -1,55 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* THIS IS AN AUTOMATICALLY GENERATED FILE : DO NOT EDIT BY HAND. */ - -#ifndef __INT_VARIANCE_H__ -#define __INT_VARIANCE_H__ - -#define s0variances0(in) svariances(in) - -#define d0varianced0(in) dvariances(in) - -#define c0variancec0(in) cvariances(in) - -#define z0variancez0(in) zvariances(in) - -#define s2variances0(in,size) svariancea(in, size[0]*size[1]) - -#define d2varianced0(in,size) dvariancea(in, size[0]*size[1]) - -#define c2variancec0(in,size) cvariancea(in, size[0]*size[1]) - -#define z2variancez0(in,size) zvariancea(in, size[0]*size[1]) - - -#define s0s0variances0(in1,in2) (in2==1) ? srowvariances(in1) : scolumnvariances(in1) - -#define d0d0varianced0(in1,in2) (in2==1) ? drowvariances(in1) : dcolumnvariances(in1) - -#define c0s0variancec0(in1,in2) (in2==1) ? crowvariances(in1) : ccolumnvariances(in1) - -#define z0d0variancez0(in1,in2) (in2==1) ? zrowvariances(in1) : zcolumnvariances(in1) - -#define s2s0variances2(in1,size,in2,out) (in2==1) ? srowvariancea(in1,size[0],size[1],out) : scolumnvariancea(in1,size[0],size[1],out) - -#define d2d0varianced2(in1,size,in2,out) (in2==1) ? drowvariancea(in1,size[0],size[1],out) : dcolumnvariancea(in1,size[0],size[1],out) - -#define c2s0variancec2(in1,size,in2,out) (in2==1) ? crowvariancea(in1,size[0],size[1],out) : ccolumnvariancea(in1,size[0],size[1],out) - -#define z2d0variancez2(in1,size,in2,out) (in2==1) ? zrowvariancea(in1,size[0],size[1],out) : zcolumnvariancea(in1,size[0],size[1],out) - - - - - -#endif /* !__INT_VARIANCE_H__ */ diff --git a/src/statisticsFunctions/max/Makefile.am b/src/statisticsFunctions/max/Makefile.am deleted file mode 100644 index 1ef7fd90..00000000 --- a/src/statisticsFunctions/max/Makefile.am +++ /dev/null @@ -1,51 +0,0 @@ -## -## Scilab ( http://www.scilab.org/ ) - This file is part of Scilab -## Copyright (C) 2006-2008 - INRIA - Bruno JOFRET -## -## This file must be used under the terms of the CeCILL. -## This source file is licensed as described in the file COPYING, which -## you should have received as part of this distribution. 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The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMax.h" - -void dcolumnmaxa(double *in, int rows, int columns, double* out) { - int i = 0, j = 0; - - for (i = 0; i < rows; i++) { - out[i]=in[i]; - for (j=0;j<columns;j++) - if (in[i+j*rows]>out[i]) out[i] = in[i+j*rows]; - } - -} diff --git a/src/statisticsFunctions/max/dmaxa.c b/src/statisticsFunctions/max/dmaxa.c deleted file mode 100644 index 5e2145e3..00000000 --- a/src/statisticsFunctions/max/dmaxa.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMax.h" - -double dmaxa(double *in, int size) { - double out = in[0]; - int i = 0; - - for (i = 1; i < size; ++i) - { - if (in[i]>out) out = in[i]; - } - return out; - -} diff --git a/src/statisticsFunctions/max/drowmaxa.c b/src/statisticsFunctions/max/drowmaxa.c deleted file mode 100644 index a3099231..00000000 --- a/src/statisticsFunctions/max/drowmaxa.c +++ /dev/null @@ -1,23 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMax.h" - -void drowmaxa(double *in, int rows, int columns, double* out) { - int i = 0, j = 0; - - for (i = 0; i < columns; i++) { - out[i]=in[i*rows]; - for (j = 1 ; j < rows ; j++) - if (in[i*rows+j]>out[i]) out[i] = in[i*rows+j]; - } -} diff --git a/src/statisticsFunctions/max/scolumnmaxa.c b/src/statisticsFunctions/max/scolumnmaxa.c deleted file mode 100644 index 71af8460..00000000 --- a/src/statisticsFunctions/max/scolumnmaxa.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMax.h" - -void scolumnmaxa(float *in, int rows, int columns, float* out) { - int i = 0, j = 0; - - for (i = 0; i < rows; i++) { - out[i]=in[i]; - for (j=0;j<columns;j++) - if (in[i+j*rows]>out[i]) out[i] = in[i+j*rows]; - } - -} diff --git a/src/statisticsFunctions/max/smaxa.c b/src/statisticsFunctions/max/smaxa.c deleted file mode 100644 index f47fcffe..00000000 --- a/src/statisticsFunctions/max/smaxa.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMax.h" - -float smaxa(float *in, int size) { - float out = in[0]; - int i = 0; - - for (i = 1; i < size; ++i) - { - if (in[i]>out) out = in[i]; - } - return out; - -} diff --git a/src/statisticsFunctions/max/srowmaxa.c b/src/statisticsFunctions/max/srowmaxa.c deleted file mode 100644 index c87ccf7f..00000000 --- a/src/statisticsFunctions/max/srowmaxa.c +++ /dev/null @@ -1,23 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMax.h" - -void srowmaxa(float *in, int rows, int columns, float* out) { - int i = 0, j = 0; - - for (i = 0; i < columns; i++) { - out[i]=in[i*rows]; - for (j = 1 ; j < rows ; j++) - if (in[i*rows+j]>out[i]) out[i] = in[i*rows+j]; - } -} diff --git a/src/statisticsFunctions/max/testDoubleMax.c b/src/statisticsFunctions/max/testDoubleMax.c deleted file mode 100644 index 81c50324..00000000 --- a/src/statisticsFunctions/max/testDoubleMax.c +++ /dev/null @@ -1,93 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud Torset - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - - -#include "statMax.h" -#include "assert.h" -#include "stdio.h" - - -static void dmaxaTest(void){ - double in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - double out; - - out = dmaxa(in,12); - assert(out-7==0); - -} - - -static void drowmaxaTest(void){ - double in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - double result2[2]={7,5}; - double result3[3]={7,6,5}; - double result4[4]={7,6,4,5}; - double result6[6]={5,7,6,4,5,4}; - double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - int i; - - - drowmaxa(in,12,1,out1); - drowmaxa(in,6,2,out2); - drowmaxa(in,4,3,out3); - drowmaxa(in,3,4,out4); - drowmaxa(in,2,6,out6); - drowmaxa(in,1,12,out12); - - assert(out1[0]-7==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - - -static void dcolumnmaxaTest(void){ - double in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - double result2[2]={7,6}; - double result3[3]={5,5,7}; - double result4[4]={4,6,7,3}; - double result6[6]={4,5,7,5,4,6}; - int i; - - - - dcolumnmaxa(in,12,1,out12); - dcolumnmaxa(in,6,2,out6); - dcolumnmaxa(in,4,3,out4); - dcolumnmaxa(in,3,4,out3); - dcolumnmaxa(in,2,6,out2); - dcolumnmaxa(in,1,12,out1); - - assert(out1[0]-7==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - -static int maxTest(void){ - dmaxaTest(); - drowmaxaTest(); - dcolumnmaxaTest(); - return 0; -} - - -int main(void){ - assert(maxTest()==0); - return 0; -} diff --git a/src/statisticsFunctions/max/testFloatMax.c b/src/statisticsFunctions/max/testFloatMax.c deleted file mode 100644 index 7741aef4..00000000 --- a/src/statisticsFunctions/max/testFloatMax.c +++ /dev/null @@ -1,92 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud Torset - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - - -#include "statMax.h" -#include "assert.h" -#include "stdio.h" - -static void smaxaTest(void){ - float in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - float out; - - out = smaxa(in,12); - assert(out-7==0); - -} - - -static void srowmaxaTest(void){ - float in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - float result2[2]={7,5}; - float result3[3]={7,6,5}; - float result4[4]={7,6,4,5}; - float result6[6]={5,7,6,4,5,4}; - int i; - - - srowmaxa(in,12,1,out1); - srowmaxa(in,6,2,out2); - srowmaxa(in,4,3,out3); - srowmaxa(in,3,4,out4); - srowmaxa(in,2,6,out6); - srowmaxa(in,1,12,out12); - - assert(out1[0]-7==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - - -static void scolumnmaxaTest(void){ - float in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - float result2[2]={7,6}; - float result3[3]={5,5,7}; - float result4[4]={4,6,7,3}; - float result6[6]={4,5,7,5,4,6}; - int i; - - - - scolumnmaxa(in,12,1,out12); - scolumnmaxa(in,6,2,out6); - scolumnmaxa(in,4,3,out4); - scolumnmaxa(in,3,4,out3); - scolumnmaxa(in,2,6,out2); - scolumnmaxa(in,1,12,out1); - - assert(out1[0]-7==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - -static int maxTest(void){ - smaxaTest(); - srowmaxaTest(); - scolumnmaxaTest(); - return 0; -} - - -int main(void){ - assert(maxTest()==0); - return 0; -} diff --git a/src/statisticsFunctions/max/test_DoubleMax/testDoubleMax.vcproj b/src/statisticsFunctions/max/test_DoubleMax/testDoubleMax.vcproj deleted file mode 100644 index 6394818d..00000000 --- a/src/statisticsFunctions/max/test_DoubleMax/testDoubleMax.vcproj +++ /dev/null @@ -1,213 +0,0 @@ -<?xml version="1.0" encoding="Windows-1252"?>
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The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void ccolumnmeana(floatComplex *in, int lines, int columns, floatComplex *out) { - int i = 0; - - ccolumnsuma(in, lines, columns, out); - for (i = 0; i < lines; ++i) - { - out[i] = crdivs(out[i] , FloatComplex((float) columns, 0.0f)); - } -} diff --git a/src/statisticsFunctions/mean/cmeana.c b/src/statisticsFunctions/mean/cmeana.c deleted file mode 100644 index ad2a66fc..00000000 --- a/src/statisticsFunctions/mean/cmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" - -floatComplex cmeana(floatComplex *in, int size) { - floatComplex accumulate = FloatComplex(0.0f, 0.0f); - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate = cadds(accumulate, in[i]); - } - return FloatComplex(creals(accumulate) / (float) size, cimags(accumulate) / (float) size); -} diff --git a/src/statisticsFunctions/mean/crowmeana.c b/src/statisticsFunctions/mean/crowmeana.c deleted file mode 100644 index 0b073c41..00000000 --- a/src/statisticsFunctions/mean/crowmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void crowmeana(floatComplex *in, int lines, int columns, floatComplex *out) { - int i = 0; - - crowsuma(in, lines, columns, out); - for (i = 0; i < columns; ++i) - { - out[i] = crdivs(out[i], FloatComplex((float)lines, 0.0f)); - } -} diff --git a/src/statisticsFunctions/mean/dcolumnmeana.c b/src/statisticsFunctions/mean/dcolumnmeana.c deleted file mode 100644 index 90d7863b..00000000 --- a/src/statisticsFunctions/mean/dcolumnmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void dcolumnmeana(double *in, int lines, int columns, double *out) { - int i = 0; - - dcolumnsuma(in, lines, columns, out); - for (i = 0; i < lines; ++i) - { - out[i] /= (double) columns; - } -} diff --git a/src/statisticsFunctions/mean/dmeana.c b/src/statisticsFunctions/mean/dmeana.c deleted file mode 100644 index db11766a..00000000 --- a/src/statisticsFunctions/mean/dmeana.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" - -double dmeana(double *in, int size) { - double accumulate = 0.0; - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate += in[i]; - } - return accumulate / (double) size; - -} diff --git a/src/statisticsFunctions/mean/drowmeana.c b/src/statisticsFunctions/mean/drowmeana.c deleted file mode 100644 index aec1b31a..00000000 --- a/src/statisticsFunctions/mean/drowmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void drowmeana(double *in, int lines, int columns, double *out) { - int i = 0; - - drowsuma(in, lines, columns, out); - for (i = 0; i < columns; ++i) - { - out[i] /= (double) lines; - } -} diff --git a/src/statisticsFunctions/mean/scolumnmeana.c b/src/statisticsFunctions/mean/scolumnmeana.c deleted file mode 100644 index 59985d5e..00000000 --- a/src/statisticsFunctions/mean/scolumnmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void scolumnmeana(float *in, int lines, int columns, float *out) { - int i = 0; - - scolumnsuma(in, lines, columns, out); - for (i = 0; i < lines; ++i) - { - out[i] /= (float) columns; - } -} diff --git a/src/statisticsFunctions/mean/smeana.c b/src/statisticsFunctions/mean/smeana.c deleted file mode 100644 index f4b1cd10..00000000 --- a/src/statisticsFunctions/mean/smeana.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" - -float smeana(float *in, int size) { - float accumulate = 0.0f; - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate += in[i]; - } - return accumulate / (float) size; - -} diff --git a/src/statisticsFunctions/mean/srowmeana.c b/src/statisticsFunctions/mean/srowmeana.c deleted file mode 100644 index 3fb799f0..00000000 --- a/src/statisticsFunctions/mean/srowmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void srowmeana(float *in, int lines, int columns, float *out) { - int i = 0; - - srowsuma(in, lines, columns, out); - for (i = 0; i < columns; ++i) - { - out[i] /= (float) lines; - } -} diff --git a/src/statisticsFunctions/mean/testDoubleMean.c b/src/statisticsFunctions/mean/testDoubleMean.c deleted file mode 100644 index 1e1b2576..00000000 --- a/src/statisticsFunctions/mean/testDoubleMean.c +++ /dev/null @@ -1,493 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> -#include <math.h> -#include "mean.h" - -/* #define LOCAL_DEBUG */ - -#define ERROR(x) printf("diff = %e\n", x) - -static int dmeansTest(void) { - double value1 = 3.0; - double value2 = 1.123456789; - - printf("\n>>>> Mean Double Scalar Test\n"); - assert( ( fabs(dmeans(value1) ) - ( 3.0 ) ) / fabs ( dmeans(value1) ) < 3e-16 ); - assert( ( fabs(dmeans(value2) ) - ( 1.123456789 ) ) / fabs ( dmeans(value2) ) < 3e-16 ); - - return 0; -} - -static int dmeanaTest(void) { - double table1[3] = {3.0, 3.0, 3.0}; - double table2[5] = {9.186784563, - 9.186784563, - 9.186784563, - 9.186784563, - 9.186784563}; - - printf("\n>>>> Mean Double Array Test\n"); - assert( ( fabs(dmeana(table1, 3) ) - ( 9.0 / 3.0 ) ) / fabs ( dmeana(table1, 3) ) < 3e-16 ); - assert(( ( fabs(dmeana(table2, 5) ) - ( (9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563) / 5.0) ) ) / fabs ( dmeana(table2, 5) ) < 3e-16 ); - return 0; -} - -static int dcolumnmeanaTest(void) { - int i = 0; - double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0}; - double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}; - double columnMeanmedTable1_3_3[3] = {0}; - double columnMeanmedTable1_1_9[1] = {0}; - double columnMeanmedTable1_9_1[9] = {0}; - double columnMeanmedTable2_2_5[2] = {0}; - double columnMeanmedTable2_5_2[5] = {0}; - - printf("\n>>>> Column Mean Double Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 6 15 24 ] - [ 7 8 9 ] - */ - dcolumnmeana(table1, 3, 3,columnMeanmedTable1_3_3); - assert( ( fabs(columnMeanmedTable1_3_3[0] ) - ( 6.0 / 3.0 ) ) / fabs ( columnMeanmedTable1_3_3[0] ) < 3e-16 ); - assert( ( fabs(columnMeanmedTable1_3_3[1] ) - ( 15.0 / 3.0 ) ) / fabs ( columnMeanmedTable1_3_3[1] ) < 3e-16 ); - assert( ( fabs(columnMeanmedTable1_3_3[2] ) - ( 24.0 / 3.0 ) ) / fabs ( columnMeanmedTable1_3_3[2] ) < 3e-16 ); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - dcolumnmeana(table1, 1, 9,columnMeanmedTable1_1_9); - assert( ( fabs(columnMeanmedTable1_1_9[0] ) - ( 45.0 / 9.0 ) ) / fabs ( columnMeanmedTable1_1_9[0] ) < 3e-16 ); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - dcolumnmeana(table1, 9, 1,columnMeanmedTable1_9_1); - for ( i = 0 ; i < 9 ; ++i) { - printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]); - assert(columnMeanmedTable1_9_1[i] == table1[i]); - } - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 25 30 ] - */ - dcolumnmeana(table2, 2, 5,columnMeanmedTable2_2_5); - assert( ( fabs(columnMeanmedTable2_2_5[0] ) - ( 25.0 / 5.0 ) ) / fabs ( columnMeanmedTable2_2_5[0] ) < 3e-16 ); - assert( ( fabs(columnMeanmedTable2_2_5[1] ) - ( 30.0 / 5.0 ) ) / fabs ( columnMeanmedTable2_2_5[1] ) < 3e-16 ); - for ( i = 0 ; i < 2 ; ++i) { - printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 7 9 11 13 15 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - dcolumnmeana(table2, 5, 2,columnMeanmedTable2_5_2); - assert( ( fabs(columnMeanmedTable2_5_2[0] ) - ( 7.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[0] ) < 3e-16 ); - assert( ( fabs(columnMeanmedTable2_5_2[1] ) - ( 9.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[1] ) < 3e-16 ); - assert( ( fabs(columnMeanmedTable2_5_2[2] ) - ( 11.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[2] ) < 3e-16 ); - assert( ( fabs(columnMeanmedTable2_5_2[3] ) - ( 13.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[3] ) < 3e-16 ); - assert( ( fabs(columnMeanmedTable2_5_2[4] ) - ( 15.0 / 2.0 ) ) / fabs ( columnMeanmedTable2_5_2[4] ) < 3e-16 ); - for ( i = 0 ; i < 5 ; ++i) { - printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]); - } - - return 0; -} - -static int drowmeanaTest(void) { - int i = 0; - double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0}; - double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}; - double rowMeanmedTable1_3_3[3] = {0}; - double rowMeanmedTable1_1_9[9] = {0}; - double rowMeanmedTable1_9_1[1] = {0}; - double rowMeanmedTable2_2_5[5] = {0}; - double rowMeanmedTable2_5_2[2] = {0}; - - printf("\n>>>> Row Mean Double Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 12 15 18 ] - [ 7 8 9 ] - */ - drowmeana(table1, 3, 3,rowMeanmedTable1_3_3); - for ( i = 0 ; i < 3 ; ++i) { - printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]); - } - assert( ( fabs(rowMeanmedTable1_3_3[0] ) - ( 12.0 / 3.0 ) ) / fabs ( rowMeanmedTable1_3_3[0] ) < 3e-16 ); - assert( ( fabs(rowMeanmedTable1_3_3[1] ) - ( 15.0 / 3.0 ) ) / fabs ( rowMeanmedTable1_3_3[1] ) < 3e-16 ); - assert( ( fabs(rowMeanmedTable1_3_3[2] ) - ( 18.0 / 3.0 ) ) / fabs ( rowMeanmedTable1_3_3[2] ) < 3e-16 ); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - drowmeana(table1, 1, 9,rowMeanmedTable1_1_9); - for ( i = 0 ; i < 9 ; ++i) { - printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]); - assert(rowMeanmedTable1_1_9[i] == table1[i]); - } - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - drowmeana(table1, 9, 1,rowMeanmedTable1_9_1); - assert( ( fabs(rowMeanmedTable1_9_1[0] ) - ( 45.0 / 9.0 ) ) / fabs ( rowMeanmedTable1_9_1[0] ) < 3e-16 ); - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ] - */ - drowmeana(table2, 2, 5,rowMeanmedTable2_2_5); - for ( i = 0 ; i < 5 ; ++i) { - printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]); - } - assert( ( fabs(rowMeanmedTable2_2_5[0] ) - ( 3.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[0] ) < 3e-16 ); - assert( ( fabs(rowMeanmedTable2_2_5[1] ) - ( 7.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[1] ) < 3e-16 ); - assert( ( fabs(rowMeanmedTable2_2_5[2] ) - ( 11.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[2] ) < 3e-16 ); - assert( ( fabs(rowMeanmedTable2_2_5[3] ) - ( 15.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[3] ) < 3e-16 ); - assert( ( fabs(rowMeanmedTable2_2_5[4] ) - ( 19.0 / 2.0 ) ) / fabs ( rowMeanmedTable2_2_5[4] ) < 3e-16 ); - - /* - [ 1 6 ] - [ 2 7 ] => [ 15 40 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - drowmeana(table2, 5, 2,rowMeanmedTable2_5_2); - assert( ( fabs(rowMeanmedTable2_5_2[0] ) - ( 15.0 / 5.0 ) ) / fabs ( rowMeanmedTable2_5_2[0] ) < 3e-16 ); - assert( ( fabs(rowMeanmedTable2_5_2[1] ) - ( 40.0 / 5.0 ) ) / fabs ( rowMeanmedTable2_5_2[1] ) < 3e-16 ); - for ( i = 0 ; i < 2 ; ++i) { - printf("rowMeanmedTable2_5_2[%d] = %e\n", i, rowMeanmedTable2_5_2[i]); - } - - return 0; -} - -static int zmeansTest(void) { - doubleComplex value1 = DoubleComplex(3.0, 3.0); - doubleComplex value2 = DoubleComplex(1.123456789, 1.123456789); - - printf("\n>>>> Mean Double Complex Scalar Test\n"); - assert( ( fabs(zreals(zmeans(value1)) ) - ( 3.0 ) ) / fabs ( zreals(zmeans(value1)) ) < 3e-16 ); - assert( ( fabs(zimags(zmeans(value1)) ) - ( 3.0 ) ) / fabs ( zimags(zmeans(value1)) ) < 3e-16 ); - assert( ( fabs(zreals(zmeans(value2)) ) - ( 1.123456789 ) ) / fabs ( zreals(zmeans(value2)) ) < 3e-16 ); - assert( ( fabs(zimags(zmeans(value2)) ) - ( 1.123456789 ) ) / fabs ( zimags(zmeans(value2)) ) < 3e-16 ); - return 0; -} - -static int zmeanaTest(void) { - doubleComplex value1 = DoubleComplex(3.0, 3.0); - doubleComplex table1[3]; - doubleComplex value2 = DoubleComplex(9.186784563,9.186784563); - doubleComplex table2[5]; - - printf("\n>>>> Mean Double Complex Array Test\n"); - table1[0] = value1; - table1[1] = value1; - table1[2] = value1; - - table2[0] = value2; - table2[1] = value2; - table2[2] = value2; - table2[3] = value2; - table2[4] = value2; - -#ifdef LOCAL_DEBUG - printf("--------\n"); - printf("%e\n", zimags(zmeana(table1, 3))); - printf("%e\n", zreals(zmeana(table2, 5))); - printf("%e\n", zimags(zmeana(table2, 5))); - printf("%e\n", zreals(zmeana(table2, 5))); - printf("%e\n", zimags(zmeana(table2, 5))); - printf("--------\n"); -#endif - assert( ( fabs(zreals(zmeana(table1, 3)) ) - ( 9.0 / 3.0 ) ) / fabs ( zreals(zmeana(table1, 3)) ) < 3e-16 ); - assert( ( fabs(zimags(zmeana(table1, 3)) ) - ( 9.0 / 3.0 ) ) / fabs ( zimags(zmeana(table1, 3)) ) < 3e-16 ); - assert( ( fabs(zreals(zmeana(table2, 5)) ) - ( (9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563) / 5.0 ) ) / fabs ( zreals(zmeana(table2, 5)) ) < 3e-16 ); - assert( ( fabs(zimags(zmeana(table2, 5)) ) - ( (9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563) / 5.0 ) ) / fabs ( zimags(zmeana(table2, 5)) ) < 3e-16 ); - - return 0; -} - -static int zrowmeanaTest(void) { - int i = 0; - doubleComplex in[12]; - doubleComplex rowMeanmedIn_4_3[3]; - doubleComplex rowMeanmedIn_3_4[4]; - doubleComplex rowMeanmedIn_6_2[2]; - doubleComplex rowMeanmedIn_2_6[6]; - doubleComplex rowMeanmedIn_1_12[12]; - doubleComplex rowMeanmedIn_12_1[1]; - - printf("\n>>>> Row Mean Double Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - zrowmeana(in, 4, 3, rowMeanmedIn_4_3); - for (i = 0 ; i < 3 ; ++i) { - printf("rowMeanmedIn_4_3[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_4_3[i]), zimags(rowMeanmedIn_4_3[i])); - } - assert(fabs(zreals(rowMeanmedIn_4_3[0]) - 0.6 / 4.0) < 1e-16); - assert( ( fabs(zimags(rowMeanmedIn_4_3[0]) ) - ( 3.8 / 4.0 ) ) / fabs ( zimags(rowMeanmedIn_4_3[0]) ) < 3e-16 ); - assert( ( fabs(zreals(rowMeanmedIn_4_3[1]) ) - ( 2.2 / 4.0 ) ) / fabs ( zreals(rowMeanmedIn_4_3[1]) ) < 3e-16 ); - assert(fabs(zimags(rowMeanmedIn_4_3[1]) - 2.2 / 4.0) < 3e-16); - assert(fabs(zreals(rowMeanmedIn_4_3[2]) - 3.8 / 4.0) < 3e-16); - assert( ( fabs(zimags(rowMeanmedIn_4_3[2]) ) - ( 0.6 / 4.0 ) ) / fabs ( zimags(rowMeanmedIn_4_3[2]) ) < 3e-16 ); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - zrowmeana(in, 3, 4, rowMeanmedIn_3_4); - for (i = 0 ; i < 4 ; ++i) { - printf("rowMeanmedIn_3_4[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_3_4[i]), zimags(rowMeanmedIn_3_4[i])); - } - assert(fabs(zreals(rowMeanmedIn_3_4[0]) - 0.3 / 3.0) < 1e-16); - assert( ( fabs(zimags(rowMeanmedIn_3_4[0]) ) - ( 3.0 / 3.0 ) ) / fabs ( zimags(rowMeanmedIn_3_4[0]) ) < 3e-16 ); - assert(zreals(rowMeanmedIn_3_4[1]) == 1.2 / 3.0 && zimags(rowMeanmedIn_3_4[1]) == 2.1 / 3.0); - assert(fabs(zreals(rowMeanmedIn_3_4[2]) - 2.1 / 3.0) < 3e-16); - assert( ( fabs(zimags(rowMeanmedIn_3_4[2]) ) - ( 1.2 / 3.0 ) ) / fabs ( zimags(rowMeanmedIn_3_4[2]) ) < 3e-16 ); - assert( ( fabs(zreals(rowMeanmedIn_3_4[3]) ) - ( 3.0 / 3.0 ) ) / fabs ( zreals(rowMeanmedIn_3_4[3]) ) < 3e-16 ); - assert(fabs(zimags(rowMeanmedIn_3_4[3]) - 0.3 / 3.0) < 1e-16); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - zrowmeana(in, 6, 2, rowMeanmedIn_6_2); - for (i = 0 ; i < 2 ; ++i) { - printf("rowMeanmedIn_6_2[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_6_2[i]), zimags(rowMeanmedIn_6_2[i])); - } - assert(zreals(rowMeanmedIn_6_2[0]) == 1.5 / 6.0 && zimags(rowMeanmedIn_6_2[0]) == 5.1 / 6.0); - assert(zreals(rowMeanmedIn_6_2[1]) == 5.1 / 6.0 && zimags(rowMeanmedIn_6_2[1]) == 1.5 / 6.0); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ] - */ - zrowmeana(in, 2, 6, rowMeanmedIn_2_6); - for (i = 0 ; i < 6 ; ++i) { - printf("rowMeanmedIn_2_6[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_2_6[i]), zimags(rowMeanmedIn_2_6[i])); - } - assert(zreals(rowMeanmedIn_2_6[0]) == 0.1 / 2.0 && zimags(rowMeanmedIn_2_6[0]) == 2.1 / 2.0); - assert( ( fabs(zreals(rowMeanmedIn_2_6[1]) ) - ( 0.5 / 2.0 ) ) / fabs ( zreals(rowMeanmedIn_2_6[1]) ) < 3e-16 ); - assert(fabs(double(zimags(rowMeanmedIn_2_6[1]) == 1.7 / 2.0)) < 1e-16); - assert( ( fabs(zreals(rowMeanmedIn_2_6[2]) ) - ( 0.9 / 2.0 ) ) / fabs ( zreals(rowMeanmedIn_2_6[2]) ) < 3e-16 ); - assert(fabs(double(zimags(rowMeanmedIn_2_6[2]) == 1.3 / 2.0)) < 1e-16); - assert(fabs(double(zreals(rowMeanmedIn_2_6[3]) == 1.3 / 2.0)) < 1e-16); - assert( ( fabs(zimags(rowMeanmedIn_2_6[3]) ) - ( 0.9 / 2.0 ) ) / fabs ( zimags(rowMeanmedIn_2_6[3]) ) < 3e-16 ); - assert(fabs(double(zreals(rowMeanmedIn_2_6[4]) == 1.7 / 2.0)) < 1e-16); - assert( ( fabs(zimags(rowMeanmedIn_2_6[4]) ) - ( 0.5 / 2.0 ) ) / fabs ( zimags(rowMeanmedIn_2_6[4]) ) < 3e-16 ); - assert(zreals(rowMeanmedIn_2_6[5]) == 2.1 / 2.0 && zimags(rowMeanmedIn_2_6[5]) == 0.1 / 2.0); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - */ - zrowmeana(in, 1, 12, rowMeanmedIn_1_12); - for (i = 0 ; i < 12 ; ++i) { - printf("rowMeanmedIn_1_12[%d] = %e + %ei\n", i, zreals(rowMeanmedIn_1_12[i]), zimags(rowMeanmedIn_1_12[i])); - assert(zreals(rowMeanmedIn_1_12[i]) == zreals(in[i]) && zimags(rowMeanmedIn_1_12[i]) == zimags(in[i])); - } - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 6.6+6.6i ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - zrowmeana(in, 12, 1, rowMeanmedIn_12_1); - printf("rowMeanmedIn_12_1[%d] = %e + %ei\n", 0, zreals(rowMeanmedIn_12_1[0]), zimags(rowMeanmedIn_12_1[0])); - assert(zreals(rowMeanmedIn_12_1[0]) == 6.6 / 12.0 && zimags(rowMeanmedIn_12_1[0]) == 6.6 / 12.0); - - return 0; -} - -static int zcolumnmeanaTest(void) { - int i = 0; - doubleComplex in[12]; - doubleComplex columnMeanmedIn_4_3[4]; - doubleComplex columnMeanmedIn_3_4[3]; - doubleComplex columnMeanmedIn_6_2[6]; - doubleComplex columnMeanmedIn_2_6[2]; - doubleComplex columnMeanmedIn_1_12[1]; - doubleComplex columnMeanmedIn_12_1[12]; - - printf("\n>>>> ColumnMean Double Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - zcolumnmeana(in, 4, 3, columnMeanmedIn_4_3); - for (i = 0 ; i < 4 ; ++i) { - printf("columnMeanmedIn_4_3[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_4_3[i]), zimags(columnMeanmedIn_4_3[i])); - } - assert(fabs(zreals(columnMeanmedIn_4_3[0]) - 1.2 / 3.0) < 3e-16); - assert(zimags(columnMeanmedIn_4_3[0]) == 2.1 / 3.0); - assert(zreals(columnMeanmedIn_4_3[1]) == 1.5 / 3.0 && zimags(columnMeanmedIn_4_3[1]) == 1.8 / 3.0); - assert(zreals(columnMeanmedIn_4_3[2]) == 1.8 / 3.0&& zimags(columnMeanmedIn_4_3[2]) == 1.5 / 3.0); - assert(zreals(columnMeanmedIn_4_3[3]) == 2.1 / 3.0); - assert(fabs(zimags(columnMeanmedIn_4_3[3]) - 1.2 / 3.0) < 3e-16); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - zcolumnmeana(in, 3, 4, columnMeanmedIn_3_4); - for (i = 0 ; i < 3 ; ++i) { - printf("columnMeanmedIn_3_4[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_3_4[i]), zimags(columnMeanmedIn_3_4[i])); - } - assert(fabs(zreals(columnMeanmedIn_3_4[0]) - 1.8 / 4.0) < 3e-16); - assert(fabs(zimags(columnMeanmedIn_3_4[0]) - 2.6 / 4.0) < 3e-16); - assert(zreals(columnMeanmedIn_3_4[1]) == 2.2 / 4.0 && zimags(columnMeanmedIn_3_4[1]) == 2.2 / 4.0); - assert(zreals(columnMeanmedIn_3_4[2]) == 2.6 / 4.0 && zimags(columnMeanmedIn_3_4[2]) == 1.8 / 4.0); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - zcolumnmeana(in, 6, 2, columnMeanmedIn_6_2); - for (i = 0 ; i < 6 ; ++i) { - printf("columnMeanmedIn_6_2[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_6_2[i]), zimags(columnMeanmedIn_6_2[i])); - } - assert(zreals(columnMeanmedIn_6_2[0]) == 0.6 / 2.0 && zimags(columnMeanmedIn_6_2[0]) == 1.6 / 2.0); - assert(fabs(zreals(columnMeanmedIn_6_2[1]) - 0.8 / 2.0) < 3e-16); - assert(zimags(columnMeanmedIn_6_2[1]) == 1.4 / 2.0); - assert(zreals(columnMeanmedIn_6_2[2]) == 1.0 / 2.0 && zimags(columnMeanmedIn_6_2[2]) == 1.2 / 2.0); - assert(zreals(columnMeanmedIn_6_2[3]) == 1.2 / 2.0 && zimags(columnMeanmedIn_6_2[3]) == 1.0 / 2.0); - assert(zreals(columnMeanmedIn_6_2[4]) == 1.4 / 2.0); - assert(fabs(zimags(columnMeanmedIn_6_2[4]) - 0.8 / 2.0) < 3e-16); - assert(zreals(columnMeanmedIn_6_2[5]) == 1.6 / 2.0 && zimags(columnMeanmedIn_6_2[5]) == 0.6 / 2.0); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 3+3.6i 3.6+3i ] - */ - zcolumnmeana(in, 2, 6, columnMeanmedIn_2_6); - for (i = 0 ; i < 2 ; ++i) { - printf("columnMeanmedIn_2_6[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_2_6[i]), zimags(columnMeanmedIn_2_6[i])); - } - assert(zreals(columnMeanmedIn_2_6[0]) == 3.0 / 6.0 && zimags(columnMeanmedIn_2_6[0]) == 3.6 / 6.0); - assert(zreals(columnMeanmedIn_2_6[1]) == 3.6 / 6.0 && zimags(columnMeanmedIn_2_6[1]) == 3.0 / 6.0); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 6.6+6.6i ] - */ - zcolumnmeana(in, 1, 12, columnMeanmedIn_1_12); - printf("columnMeanmedIn_1_12[%d] = %e + %ei\n", 0, zreals(columnMeanmedIn_1_12[0]), zimags(columnMeanmedIn_1_12[0])); - assert(zreals(columnMeanmedIn_1_12[0]) == 6.6 / 12.0 && zimags(columnMeanmedIn_1_12[0]) == 6.6 / 12.0); - - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - zcolumnmeana(in, 12, 1, columnMeanmedIn_12_1); - for (i = 0 ; i < 12 ; ++i) { - printf("columnMeanmedIn_12_1[%d] = %e + %ei\n", i, zreals(columnMeanmedIn_12_1[i]), zimags(columnMeanmedIn_12_1[i])); - assert(zreals(columnMeanmedIn_12_1[i]) == zreals(in[i]) && zimags(columnMeanmedIn_12_1[i]) == zimags(in[i])); - } - - return 0; -} - -static int testMean(void) { - - dmeansTest(); - dmeanaTest(); - drowmeanaTest(); - dcolumnmeanaTest(); - zmeansTest(); - zmeanaTest(); - zrowmeanaTest(); - zcolumnmeanaTest(); - - return 0; -} - -int main(void) { - assert(testMean() == 0); - return 0; -} diff --git a/src/statisticsFunctions/mean/testFloatMean.c b/src/statisticsFunctions/mean/testFloatMean.c deleted file mode 100644 index e5c6d9d8..00000000 --- a/src/statisticsFunctions/mean/testFloatMean.c +++ /dev/null @@ -1,481 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> -#include <math.h> -#include "mean.h" - -/* #define LOCAL_DEBUG */ - -static int smeansTest(void) { - float value1 = 3.0f; - float value2 = 1.123456789f; - - printf("\n>>>> Mean Float Scalar Test\n"); - assert(smeans(value1) == 3.0f); - assert(smeans(value2) == 1.123456789f); - - return 0; -} - -static int smeanaTest(void) { - float table1[3] = {3.0f, 3.0f, 3.0f}; - float table2[5] = {9.186784563f, - 9.186784563f, - 9.186784563f, - 9.186784563f, - 9.186784563f}; - - printf("\n>>>> Mean Float Array Test\n"); - assert(smeana(table1, 3) == 9.0f / 3.0f); - assert((smeana(table2, 5) - (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f) / smeana(table2, 5) < 1e-6); - return 0; -} - -static int scolumnmeanaTest(void) { - int i = 0; - float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; - float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}; - float columnMeanmedTable1_3_3[3] = {0}; - float columnMeanmedTable1_1_9[1] = {0}; - float columnMeanmedTable1_9_1[9] = {0}; - float columnMeanmedTable2_2_5[2] = {0}; - float columnMeanmedTable2_5_2[5] = {0}; - - printf("\n>>>> Column Mean Float Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 6 15 24 ] - [ 7 8 9 ] - */ - scolumnmeana(table1, 3, 3,columnMeanmedTable1_3_3); - assert(columnMeanmedTable1_3_3[0] == 6.0f / 3.0f); - assert(columnMeanmedTable1_3_3[1] == 15.0f / 3.0f); - assert(columnMeanmedTable1_3_3[2] == 24.0f / 3.0f); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - scolumnmeana(table1, 1, 9,columnMeanmedTable1_1_9); - assert(columnMeanmedTable1_1_9[0] == 45.0f / 9.0f); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - scolumnmeana(table1, 9, 1,columnMeanmedTable1_9_1); - for ( i = 0 ; i < 9 ; ++i) { - printf("columnMeanmedTable1_9_1[%d] = %e\n", i, columnMeanmedTable1_9_1[i]); - assert(columnMeanmedTable1_9_1[i] == table1[i]); - } - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 25 30 ] - */ - scolumnmeana(table2, 2, 5,columnMeanmedTable2_2_5); - assert(columnMeanmedTable2_2_5[0] == 25.0f / 5.0f); - assert(columnMeanmedTable2_2_5[1] == 30.0f / 5.0f); - for ( i = 0 ; i < 2 ; ++i) { - printf("columnMeanmedTable2_2_5[%d] = %e\n", i, columnMeanmedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 7 9 11 13 15 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - scolumnmeana(table2, 5, 2,columnMeanmedTable2_5_2); - assert(columnMeanmedTable2_5_2[0] == 7.0f / 2.0f); - assert(columnMeanmedTable2_5_2[1] == 9.0f / 2.0f); - assert(columnMeanmedTable2_5_2[2] == 11.0f / 2.0f); - assert(columnMeanmedTable2_5_2[3] == 13.0f / 2.0f); - assert(columnMeanmedTable2_5_2[4] == 15.0f / 2.0f); - for ( i = 0 ; i < 5 ; ++i) { - printf("columnMeanmedTable2_5_2[%d] = %e\n", i, columnMeanmedTable2_5_2[i]); - } - - return 0; -} - -static int srowmeanaTest(void) { - int i = 0; - float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; - float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}; - float rowMeanmedTable1_3_3[3] = {0}; - float rowMeanmedTable1_1_9[9] = {0}; - float rowMeanmedTable1_9_1[1] = {0}; - float rowMeanmedTable2_2_5[5] = {0}; - float rowMeanmedTable2_5_2[2] = {0}; - - printf("\n>>>> Row Mean Float Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 12 15 18 ] - [ 7 8 9 ] - */ - srowmeana(table1, 3, 3,rowMeanmedTable1_3_3); - for ( i = 0 ; i < 3 ; ++i) { - printf("rowMeanmedTable1_3_3[%d] = %e\n", i, rowMeanmedTable1_3_3[i]); - } - assert(rowMeanmedTable1_3_3[0] == 12.0f / 3.0f); - assert(rowMeanmedTable1_3_3[1] == 15.0f / 3.0f); - assert(rowMeanmedTable1_3_3[2] == 18.0f / 3.0f); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - srowmeana(table1, 1, 9,rowMeanmedTable1_1_9); - for ( i = 0 ; i < 9 ; ++i) { - printf("rowMeanmedTable1_1_9[%d] = %e\n", i, rowMeanmedTable1_1_9[i]); - assert(rowMeanmedTable1_1_9[i] == table1[i]); - } - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - srowmeana(table1, 9, 1,rowMeanmedTable1_9_1); - assert(rowMeanmedTable1_9_1[0] == 45.0f / 9.0f); - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ] - */ - srowmeana(table2, 2, 5,rowMeanmedTable2_2_5); - assert(rowMeanmedTable2_2_5[0] == 3.0f / 2.0f); - assert(rowMeanmedTable2_2_5[1] == 7.0f / 2.0f); - assert(rowMeanmedTable2_2_5[2] == 11.0f / 2.0f); - assert(rowMeanmedTable2_2_5[3] == 15.0f / 2.0f); - assert(rowMeanmedTable2_2_5[4] == 19.0f / 2.0f); - for ( i = 0 ; i < 5 ; ++i) { - printf("rowMeanmedTable2_2_5[%d] = %e\n", i, rowMeanmedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 15 40 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - srowmeana(table2, 5, 2,rowMeanmedTable2_5_2); - assert(rowMeanmedTable2_5_2[0] == 15.0f / 5.0f); - assert(rowMeanmedTable2_5_2[1] == 40.0f / 5.0f); - for ( i = 0 ; i < 2 ; ++i) { - printf("rowMeanmedTable2_5_2[%d] = %e\n", i, rowMeanmedTable2_5_2[i]); - } - - return 0; -} - -static int cmeansTest(void) { - floatComplex value1 = FloatComplex(3.0f, 3.0f); - floatComplex value2 = FloatComplex(1.123456789f, 1.123456789f); - - printf("\n>>>> Mean Float Complex Scalar Test\n"); - assert(creals(cmeans(value1)) == 3.0f); - assert(cimags(cmeans(value1)) == 3.0f); - assert(creals(cmeans(value2)) == 1.123456789f); - assert(cimags(cmeans(value2)) == 1.123456789f); - return 0; -} - -static int cmeanaTest(void) { - floatComplex value1 = FloatComplex(3.0f, 3.0f); - floatComplex table1[3]; - floatComplex value2 = FloatComplex(9.186784563f,9.186784563f); - floatComplex table2[5]; - - printf("\n>>>> Mean Float Complex Array Test\n"); - table1[0] = value1; - table1[1] = value1; - table1[2] = value1; - - table2[0] = value2; - table2[1] = value2; - table2[2] = value2; - table2[3] = value2; - table2[4] = value2; - -#ifdef LOCAL_DEBUG - printf("--------\n"); - printf("%e\n", cimags(cmeana(table1, 3))); - printf("%e\n", creals(cmeana(table2, 5))); - printf("%e\n", cimags(cmeana(table2, 5))); - printf("%e\n", creals(cmeana(table2, 5))); - printf("%e\n", cimags(cmeana(table2, 5))); - printf("--------\n"); -#endif - assert(creals(cmeana(table1, 3)) == 9.0f / 3.0f); - assert(cimags(cmeana(table1, 3)) == 9.0f / 3.0f); - assert(creals(cmeana(table2, 5)) == (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f); - assert(cimags(cmeana(table2, 5)) == (9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f) / 5.0f); - - return 0; -} - -static int crowmeanaTest(void) { - int i = 0; - floatComplex in[12]; - floatComplex rowMeanmedIn_4_3[3]; - floatComplex rowMeanmedIn_3_4[4]; - floatComplex rowMeanmedIn_6_2[2]; - floatComplex rowMeanmedIn_2_6[6]; - floatComplex rowMeanmedIn_1_12[12]; - floatComplex rowMeanmedIn_12_1[1]; - - printf("\n>>>> Row Mean Float Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - crowmeana(in, 4, 3, rowMeanmedIn_4_3); - for (i = 0 ; i < 3 ; ++i) { - printf("rowMeanmedIn_4_3[%d] = %e + %ei\n", i, creals(rowMeanmedIn_4_3[i]), cimags(rowMeanmedIn_4_3[i])); - } - assert(creals(rowMeanmedIn_4_3[0]) == 0.6f / 4.0f && cimags(rowMeanmedIn_4_3[0]) == 3.8f / 4.0f); - assert(creals(rowMeanmedIn_4_3[1]) == 2.2f / 4.0f && cimags(rowMeanmedIn_4_3[1]) == 2.2f / 4.0f); - assert(fabs(creals(rowMeanmedIn_4_3[2]) - 3.8f / 4.0f) < 1e-06); - assert(cimags(rowMeanmedIn_4_3[2]) == 0.6f / 4.0f); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - crowmeana(in, 3, 4, rowMeanmedIn_3_4); - for (i = 0 ; i < 4 ; ++i) { - printf("rowMeanmedIn_3_4[%d] = %e + %ei\n", i, creals(rowMeanmedIn_3_4[i]), cimags(rowMeanmedIn_3_4[i])); - } - assert(creals(rowMeanmedIn_3_4[0]) == 0.3f / 3.0f && cimags(rowMeanmedIn_3_4[0]) == 3.0f / 3.0f); - assert(creals(rowMeanmedIn_3_4[1]) == 1.2f / 3.0f && cimags(rowMeanmedIn_3_4[1]) == 2.1f / 3.0f); - assert(creals(rowMeanmedIn_3_4[2]) == 2.1f / 3.0f && cimags(rowMeanmedIn_3_4[2]) == 1.2f / 3.0f); - assert(creals(rowMeanmedIn_3_4[3]) == 3.0f / 3.0f && cimags(rowMeanmedIn_3_4[3]) == 0.3f / 3.0f); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - crowmeana(in, 6, 2, rowMeanmedIn_6_2); - for (i = 0 ; i < 2 ; ++i) { - printf("rowMeanmedIn_6_2[%d] = %e + %ei\n", i, creals(rowMeanmedIn_6_2[i]), cimags(rowMeanmedIn_6_2[i])); - } - assert(creals(rowMeanmedIn_6_2[0]) == 1.5f / 6.0f && cimags(rowMeanmedIn_6_2[0]) == 5.1f / 6.0f); - assert(creals(rowMeanmedIn_6_2[1]) == 5.1f / 6.0f); - assert(fabs(cimags(rowMeanmedIn_6_2[1]) - 1.5f / 6.0f) < 1e-06); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ] - */ - crowmeana(in, 2, 6, rowMeanmedIn_2_6); - for (i = 0 ; i < 6 ; ++i) { - printf("rowMeanmedIn_2_6[%d] = %e + %ei\n", i, creals(rowMeanmedIn_2_6[i]), cimags(rowMeanmedIn_2_6[i])); - } - assert(creals(rowMeanmedIn_2_6[0]) == 0.1f / 2.0f && cimags(rowMeanmedIn_2_6[0]) == 2.1f / 2.0f); - assert(creals(rowMeanmedIn_2_6[1]) == 0.5f / 2.0f && cimags(rowMeanmedIn_2_6[1]) == 1.7f / 2.0f); - assert(creals(rowMeanmedIn_2_6[2]) == 0.9f / 2.0f && cimags(rowMeanmedIn_2_6[2]) == 1.3f / 2.0f); - assert(creals(rowMeanmedIn_2_6[3]) == 1.3f / 2.0f && cimags(rowMeanmedIn_2_6[3]) == 0.9f / 2.0f); - assert(creals(rowMeanmedIn_2_6[4]) == 1.7f / 2.0f && cimags(rowMeanmedIn_2_6[4]) == 0.5f / 2.0f); - assert(creals(rowMeanmedIn_2_6[5]) == 2.1f / 2.0f && cimags(rowMeanmedIn_2_6[5]) == 0.1f / 2.0f); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - */ - crowmeana(in, 1, 12, rowMeanmedIn_1_12); - for (i = 0 ; i < 12 ; ++i) { - printf("rowMeanmedIn_1_12[%d] = %e + %ei\n", i, creals(rowMeanmedIn_1_12[i]), cimags(rowMeanmedIn_1_12[i])); - assert(creals(rowMeanmedIn_1_12[i]) == creals(in[i]) && cimags(rowMeanmedIn_1_12[i]) == cimags(in[i])); - } - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 6.6+6.6i ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - crowmeana(in, 12, 1, rowMeanmedIn_12_1); - printf("rowMeanmedIn_12_1[%d] = %e + %ei\n", 0, creals(rowMeanmedIn_12_1[0]), cimags(rowMeanmedIn_12_1[0])); - assert(creals(rowMeanmedIn_12_1[0]) == 6.6f / 12.0f && cimags(rowMeanmedIn_12_1[0]) == 6.6f / 12.0f); - - return 0; -} - -static int ccolumnmeanaTest(void) { - int i = 0; - floatComplex in[12]; - floatComplex columnMeanmedIn_4_3[4]; - floatComplex columnMeanmedIn_3_4[3]; - floatComplex columnMeanmedIn_6_2[6]; - floatComplex columnMeanmedIn_2_6[2]; - floatComplex columnMeanmedIn_1_12[1]; - floatComplex columnMeanmedIn_12_1[12]; - - printf("\n>>>> ColumnMean Float Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - ccolumnmeana(in, 4, 3, columnMeanmedIn_4_3); - for (i = 0 ; i < 4 ; ++i) { - printf("columnMeanmedIn_4_3[%d] = %e + %ei\n", i, creals(columnMeanmedIn_4_3[i]), cimags(columnMeanmedIn_4_3[i])); - } - assert(creals(columnMeanmedIn_4_3[0]) == 1.2f / 3.0f && cimags(columnMeanmedIn_4_3[0]) == 2.1f / 3.0f); - assert(creals(columnMeanmedIn_4_3[1]) == 1.5f / 3.0f); - assert(fabs(cimags(columnMeanmedIn_4_3[1]) - 1.8f / 3.0f) < 1e-06); - assert(creals(columnMeanmedIn_4_3[2]) == 1.8f / 3.0f && cimags(columnMeanmedIn_4_3[2]) == 1.5f / 3.0f); - assert(creals(columnMeanmedIn_4_3[3]) == 2.1f / 3.0f && cimags(columnMeanmedIn_4_3[3]) == 1.2f / 3.0f); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - ccolumnmeana(in, 3, 4, columnMeanmedIn_3_4); - for (i = 0 ; i < 3 ; ++i) { - printf("columnMeanmedIn_3_4[%d] = %e + %ei\n", i, creals(columnMeanmedIn_3_4[i]), cimags(columnMeanmedIn_3_4[i])); - } - assert(creals(columnMeanmedIn_3_4[0]) == 1.8f / 4.0f); - assert(fabs(cimags(columnMeanmedIn_3_4[0]) - 2.6f / 4.0f) < 1e-06); - assert(creals(columnMeanmedIn_3_4[1]) == 2.2f / 4.0f && cimags(columnMeanmedIn_3_4[1]) == 2.2f / 4.0f); - assert(creals(columnMeanmedIn_3_4[2]) == 2.6f / 4.0f && cimags(columnMeanmedIn_3_4[2]) == 1.8f / 4.0f); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - ccolumnmeana(in, 6, 2, columnMeanmedIn_6_2); - for (i = 0 ; i < 6 ; ++i) { - printf("columnMeanmedIn_6_2[%d] = %e + %ei\n", i, creals(columnMeanmedIn_6_2[i]), cimags(columnMeanmedIn_6_2[i])); - } - assert(creals(columnMeanmedIn_6_2[0]) == 0.6f / 2.0f && cimags(columnMeanmedIn_6_2[0]) == 1.6f / 2.0f); - assert(creals(columnMeanmedIn_6_2[1]) == 0.8f / 2.0f && cimags(columnMeanmedIn_6_2[1]) == 1.4f / 2.0f); - assert(creals(columnMeanmedIn_6_2[2]) == 1.0f / 2.0f && cimags(columnMeanmedIn_6_2[2]) == 1.2f / 2.0f); - assert(creals(columnMeanmedIn_6_2[3]) == 1.2f / 2.0f && cimags(columnMeanmedIn_6_2[3]) == 1.0f / 2.0f); - assert(creals(columnMeanmedIn_6_2[4]) == 1.4f / 2.0f && cimags(columnMeanmedIn_6_2[4]) == 0.8f / 2.0f); - assert(creals(columnMeanmedIn_6_2[5]) == 1.6f / 2.0f && cimags(columnMeanmedIn_6_2[5]) == 0.6f / 2.0f); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 3+3.6i 3.6+3i ] - */ - ccolumnmeana(in, 2, 6, columnMeanmedIn_2_6); - for (i = 0 ; i < 2 ; ++i) { - printf("columnMeanmedIn_2_6[%d] = %e + %ei\n", i, creals(columnMeanmedIn_2_6[i]), cimags(columnMeanmedIn_2_6[i])); - } - assert(creals(columnMeanmedIn_2_6[0]) == 3.0f / 6.0f && cimags(columnMeanmedIn_2_6[0]) == 3.6f / 6.0f); - assert(creals(columnMeanmedIn_2_6[1]) == 3.6f / 6.0f); - assert(fabs(cimags(columnMeanmedIn_2_6[1]) -3.0f / 6.0f) < 1e-06); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 6.6+6.6i ] - */ - ccolumnmeana(in, 1, 12, columnMeanmedIn_1_12); - printf("columnMeanmedIn_1_12[%d] = %e + %ei\n", 0, creals(columnMeanmedIn_1_12[0]), cimags(columnMeanmedIn_1_12[0])); - assert(creals(columnMeanmedIn_1_12[0]) == 6.6f / 12.0f && cimags(columnMeanmedIn_1_12[0]) == 6.6f / 12.0f); - - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - ccolumnmeana(in, 12, 1, columnMeanmedIn_12_1); - for (i = 0 ; i < 12 ; ++i) { - printf("columnMeanmedIn_12_1[%d] = %e + %ei\n", i, creals(columnMeanmedIn_12_1[i]), cimags(columnMeanmedIn_12_1[i])); 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diff --git a/src/statisticsFunctions/mean/zcolumnmeana.c b/src/statisticsFunctions/mean/zcolumnmeana.c deleted file mode 100644 index 8cc38fc7..00000000 --- a/src/statisticsFunctions/mean/zcolumnmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void zcolumnmeana(doubleComplex *in, int lines, int columns, doubleComplex *out) { - int i = 0; - - zcolumnsuma(in, lines, columns, out); - for (i = 0; i < lines; ++i) - { - out[i] = zrdivs(out[i] , DoubleComplex((double) columns, 0.0f)); - } -} diff --git a/src/statisticsFunctions/mean/zmeana.c b/src/statisticsFunctions/mean/zmeana.c deleted file mode 100644 index aae80ffc..00000000 --- a/src/statisticsFunctions/mean/zmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" - -doubleComplex zmeana(doubleComplex *in, int size) { - doubleComplex accumulate = DoubleComplex(0.0f, 0.0f); - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate = zadds(accumulate, in[i]); - } - return DoubleComplex(zreals(accumulate) / (double) size, zimags(accumulate) / (double) size); -} diff --git a/src/statisticsFunctions/mean/zrowmeana.c b/src/statisticsFunctions/mean/zrowmeana.c deleted file mode 100644 index 8e19bf9e..00000000 --- a/src/statisticsFunctions/mean/zrowmeana.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "mean.h" -#include "sum.h" - -void zrowmeana(doubleComplex *in, int lines, int columns, doubleComplex *out) { - int i = 0; - - zrowsuma(in, lines, columns, out); - for (i = 0; i < columns; ++i) - { - out[i] = zrdivs(out[i], DoubleComplex((double)lines, 0.0f)); - } -} diff --git a/src/statisticsFunctions/min/Makefile.am b/src/statisticsFunctions/min/Makefile.am deleted file mode 100644 index 679c04c6..00000000 --- a/src/statisticsFunctions/min/Makefile.am +++ /dev/null @@ -1,51 +0,0 @@ -## -## Scilab ( http://www.scilab.org/ ) - This file is part of Scilab -## Copyright (C) 2006-2008 - INRIA - Bruno JOFRET -## -## This file must be used under the terms of the CeCILL. -## This source file is licensed as described in the file COPYING, which -## you should have received as part of this distribution. 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The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMin.h" - -void dcolumnmina(double *in, int rows, int columns, double* out) { - int i = 0, j = 0; - - for (i = 0; i < rows; i++) { - out[i]=in[i]; - for (j=0;j<columns;j++) - if (in[i+j*rows]<out[i]) out[i] = in[i+j*rows]; - } - -} diff --git a/src/statisticsFunctions/min/dmina.c b/src/statisticsFunctions/min/dmina.c deleted file mode 100644 index 232232c1..00000000 --- a/src/statisticsFunctions/min/dmina.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMin.h" - -double dmina(double *in, int size) { - double out = in[0]; - int i = 0; - - for (i = 1; i < size; ++i) - { - if (in[i]<out) out = in[i]; - } - return out; - -} diff --git a/src/statisticsFunctions/min/drowmina.c b/src/statisticsFunctions/min/drowmina.c deleted file mode 100644 index f74498a7..00000000 --- a/src/statisticsFunctions/min/drowmina.c +++ /dev/null @@ -1,23 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMin.h" - -void drowmina(double *in, int rows, int columns, double* out) { - int i = 0, j = 0; - - for (i = 0; i < columns; i++) { - out[i]=in[i*rows]; - for (j = 1 ; j < rows ; j++) - if (in[i*rows+j]<out[i]) out[i] = in[i*rows+j]; - } -} diff --git a/src/statisticsFunctions/min/scolumnmina.c b/src/statisticsFunctions/min/scolumnmina.c deleted file mode 100644 index 79fac41a..00000000 --- a/src/statisticsFunctions/min/scolumnmina.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMin.h" - -void scolumnmina(float *in, int rows, int columns, float* out) { - int i = 0, j = 0; - - for (i = 0; i < rows; i++) { - out[i]=in[i]; - for (j=0;j<columns;j++) - if (in[i+j*rows]<out[i]) out[i] = in[i+j*rows]; - } - -} diff --git a/src/statisticsFunctions/min/smina.c b/src/statisticsFunctions/min/smina.c deleted file mode 100644 index bdc929cd..00000000 --- a/src/statisticsFunctions/min/smina.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud Torset - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMin.h" - -float smina(float *in, int size) { - float out = in[0]; - int i = 0; - - for (i = 1; i < size; ++i) - { - if (in[i]<out) out = in[i]; - } - return out; - -} diff --git a/src/statisticsFunctions/min/srowmina.c b/src/statisticsFunctions/min/srowmina.c deleted file mode 100644 index bbdb4f04..00000000 --- a/src/statisticsFunctions/min/srowmina.c +++ /dev/null @@ -1,23 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "statMin.h" - -void srowmina(float *in, int rows, int columns, float* out) { - int i = 0, j = 0; - - for (i = 0; i < columns; i++) { - out[i]=in[i*rows]; - for (j = 1 ; j < rows ; j++) - if (in[i*rows+j]<out[i]) out[i] = in[i*rows+j]; - } -} diff --git a/src/statisticsFunctions/min/testDoubleMin.c b/src/statisticsFunctions/min/testDoubleMin.c deleted file mode 100644 index 41522164..00000000 --- a/src/statisticsFunctions/min/testDoubleMin.c +++ /dev/null @@ -1,93 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud Torset - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - - -#include "statMin.h" -#include "assert.h" -#include "stdio.h" - - -static void dminaTest(void){ - double in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - double out; - - out = dmina(in,12); - assert(out-1==0); - -} - - -static void drowminaTest(void){ - double in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - double result2[2]={1,1}; - double result3[3]={1,1,2}; - double result4[4]={4,1,1,3}; - double result6[6]={4,1,2,1,2,3}; - double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - int i; - - - drowmina(in,12,1,out1); - drowmina(in,6,2,out2); - drowmina(in,4,3,out3); - drowmina(in,3,4,out4); - drowmina(in,2,6,out6); - drowmina(in,1,12,out12); - - assert(out1[0]-1==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - - -static void dcolumnminaTest(void){ - double in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - double out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - double result2[2]={2,1}; - double result3[3]={1,1,2}; - double result4[4]={2,5,4,1}; - double result6[6]={4,1,2,1,2,3}; - int i; - - - - dcolumnmina(in,12,1,out12); - dcolumnmina(in,6,2,out6); - dcolumnmina(in,4,3,out4); - dcolumnmina(in,3,4,out3); - dcolumnmina(in,2,6,out2); - dcolumnmina(in,1,12,out1); - - assert(out1[0]-1==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - -static int minTest(void){ - dminaTest(); - drowminaTest(); - dcolumnminaTest(); - return 0; -} - - -int main(void){ - assert(minTest()==0); - return 0; -} diff --git a/src/statisticsFunctions/min/testFloatMin.c b/src/statisticsFunctions/min/testFloatMin.c deleted file mode 100644 index 70022a6d..00000000 --- a/src/statisticsFunctions/min/testFloatMin.c +++ /dev/null @@ -1,92 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud Torset - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - - -#include "statMin.h" -#include "assert.h" -#include "stdio.h" - -static void sminaTest(void){ - float in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - float out; - - out = smina(in,12); - assert(out-1==0); - -} - - -static void srowminaTest(void){ - float in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - float result2[2]={1,1}; - float result3[3]={1,1,2}; - float result4[4]={4,1,1,3}; - float result6[6]={4,1,2,1,2,3}; - int i; - - - srowmina(in,12,1,out1); - srowmina(in,6,2,out2); - srowmina(in,4,3,out3); - srowmina(in,3,4,out4); - srowmina(in,2,6,out6); - srowmina(in,1,12,out12); - - assert(out1[0]-1==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - - -static void scolumnminaTest(void){ - float in[12]={4,5,7,1,2,6,4,1,2,5,4,3}; - float out1[1],out2[2],out3[3],out4[4],out6[6],out12[12]; - float result2[2]={2,1}; - float result3[3]={1,1,2}; - float result4[4]={2,5,4,1}; - float result6[6]={4,1,2,1,2,3}; - int i; - - - - scolumnmina(in,12,1,out12); - scolumnmina(in,6,2,out6); - scolumnmina(in,4,3,out4); - scolumnmina(in,3,4,out3); - scolumnmina(in,2,6,out2); - scolumnmina(in,1,12,out1); - - assert(out1[0]-1==0); - for (i=0;i<2;i++) assert(out2[i]-result2[i]==0); - for (i=0;i<3;i++) assert(out3[i]-result3[i]==0); - for (i=0;i<4;i++) assert(out4[i]-result4[i]==0); - for (i=0;i<6;i++) assert(out6[i]-result6[i]==0); - for (i=0;i<12;i++) assert(out12[i]-in[i]==0); -} - -static int minTest(void){ - sminaTest(); - srowminaTest(); - scolumnminaTest(); - return 0; -} - - -int main(void){ - assert(minTest()==0); - return 0; -} diff --git a/src/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcproj b/src/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcproj deleted file mode 100644 index 66f85753..00000000 --- a/src/statisticsFunctions/min/test_DoubleMin/testDoubleMin.vcproj +++ /dev/null @@ -1,213 +0,0 @@ -<?xml version="1.0" encoding="Windows-1252"?>
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diff --git a/src/statisticsFunctions/prod/Makefile.am b/src/statisticsFunctions/prod/Makefile.am deleted file mode 100644 index 2f334ad3..00000000 --- a/src/statisticsFunctions/prod/Makefile.am +++ /dev/null @@ -1,65 +0,0 @@ -## -## Scilab ( http://www.scilab.org/ ) - This file is part of Scilab -## Copyright (C) 2006-2008 - INRIA - Bruno JOFRET -## -## This file must be used under the terms of the CeCILL. -## This source file is licensed as described in the file COPYING, which -## you should have received as part of this distribution. 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installdirs maintainer-clean maintainer-clean-generic \ - mostlyclean mostlyclean-compile mostlyclean-generic \ - mostlyclean-libtool pdf pdf-am ps ps-am tags uninstall \ - uninstall-am uninstall-pkglibLTLIBRARIES - -# Tell versions [3.59,3.63) of GNU make to not export all variables. -# Otherwise a system limit (for SysV at least) may be exceeded. -.NOEXPORT: diff --git a/src/statisticsFunctions/prod/ccolumnproda.c b/src/statisticsFunctions/prod/ccolumnproda.c deleted file mode 100644 index 8ea35e21..00000000 --- a/src/statisticsFunctions/prod/ccolumnproda.c +++ /dev/null @@ -1,36 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" -#include "multiplication.h" - -void ccolumnproda(floatComplex *in, int lines, int columns, floatComplex * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] = cmuls(out[i % lines] , in[i]); - } -} diff --git a/src/statisticsFunctions/prod/cproda.c b/src/statisticsFunctions/prod/cproda.c deleted file mode 100644 index fe0c65db..00000000 --- a/src/statisticsFunctions/prod/cproda.c +++ /dev/null @@ -1,30 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "prod.h" -#include "multiplication.h" - - -floatComplex cproda(floatComplex *in, int size) { - floatComplex accumulate = in[0]; - int i = 0; - - - for (i = 1; i < size; ++i) - { - accumulate = cmuls(accumulate,in[i]); - } - return accumulate; - -} - - diff --git a/src/statisticsFunctions/prod/crowproda.c b/src/statisticsFunctions/prod/crowproda.c deleted file mode 100644 index 463895da..00000000 --- a/src/statisticsFunctions/prod/crowproda.c +++ /dev/null @@ -1,37 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" -#include "multiplication.h" - -void crowproda(floatComplex *in, int lines, int columns, floatComplex * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] = cmuls( out[(i - 1) % columns] , - in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]); - } -} diff --git a/src/statisticsFunctions/prod/dcolumnproda.c b/src/statisticsFunctions/prod/dcolumnproda.c deleted file mode 100644 index 6ecdcdcb..00000000 --- a/src/statisticsFunctions/prod/dcolumnproda.c +++ /dev/null @@ -1,35 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" - -void dcolumnproda(double *in, int lines, int columns, double * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] *= in[i]; - } -} diff --git a/src/statisticsFunctions/prod/dproda.c b/src/statisticsFunctions/prod/dproda.c deleted file mode 100644 index cc05890d..00000000 --- a/src/statisticsFunctions/prod/dproda.c +++ /dev/null @@ -1,29 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "prod.h" - - -double dproda(double *in, int size) { - double accumulate = in[0]; - int i = 0; - - - for (i = 1; i < size; ++i) - { - accumulate *= in[i]; - } - return accumulate; - -} - - diff --git a/src/statisticsFunctions/prod/drowproda.c b/src/statisticsFunctions/prod/drowproda.c deleted file mode 100644 index 14f713c7..00000000 --- a/src/statisticsFunctions/prod/drowproda.c +++ /dev/null @@ -1,35 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" - -void drowproda(double *in, int lines, int columns, double * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] *= in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]; - } -} diff --git a/src/statisticsFunctions/prod/scolumnproda.c b/src/statisticsFunctions/prod/scolumnproda.c deleted file mode 100644 index 842d3d18..00000000 --- a/src/statisticsFunctions/prod/scolumnproda.c +++ /dev/null @@ -1,35 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" - -void scolumnproda(float *in, int lines, int columns, float * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] *= in[i]; - } -} diff --git a/src/statisticsFunctions/prod/sproda.c b/src/statisticsFunctions/prod/sproda.c deleted file mode 100644 index 9c5bfc24..00000000 --- a/src/statisticsFunctions/prod/sproda.c +++ /dev/null @@ -1,29 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "prod.h" - - -float sproda(float *in, int size) { - float accumulate = in[0]; - int i = 0; - - - for (i = 1; i < size; ++i) - { - accumulate *= in[i]; - } - return accumulate; - -} - - diff --git a/src/statisticsFunctions/prod/srowproda.c b/src/statisticsFunctions/prod/srowproda.c deleted file mode 100644 index 197072ad..00000000 --- a/src/statisticsFunctions/prod/srowproda.c +++ /dev/null @@ -1,35 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" - -void srowproda(float *in, int lines, int columns, float * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] *= in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]; - } -} diff --git a/src/statisticsFunctions/prod/testDoubleProd.c b/src/statisticsFunctions/prod/testDoubleProd.c deleted file mode 100644 index b18ca148..00000000 --- a/src/statisticsFunctions/prod/testDoubleProd.c +++ /dev/null @@ -1,519 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> -#include <math.h> -#include "prod.h" - -/* #define LOCAL_DEBUG */ - -#define ERROR(x) printf("diff = %e\n", x) - -static int dprodsTest(void) { - double value1 = 3.0; - double value2 = 1.123456789; - - printf("\n>>>> prod Double Scalar Test\n"); - assert(dprods(value1) == 3.0); - assert(dprods(value2) == 1.123456789); - - return 0; -} - -static int dprodaTest(void) { - double table1[3] = {3.0, 3.0, 3.0}; - double table2[5] = {9.186784563, - 9.186784563, - 9.186784563, - 9.186784563, - 9.186784563}; - - printf("\n>>>> prod Double Array Test\n"); - printf("%f\n", dproda(table1, 3)); - assert(dproda(table1, 3) == 27.0); - assert((dproda(table2, 5) - (9.186784 * 9.186784 * 9.186784 * 9.186784 * 9.186784)) / dproda(table2, 5) < 3e-16); - return 0; -} - -static int dcolumnprodaTest(void) { - int i = 0; - double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0}; - double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}; - double columnProductedTable1_3_3[3] = {0}; - double columnProductedTable1_1_9[1] = {0}; - double columnProductedTable1_9_1[9] = {0}; - double columnProductedTable2_2_5[2] = {0}; - double columnProductedTable2_5_2[5] = {0}; - - printf("\n>>>> Column prod Double Array Test\n"); - /* - [ 1 2 3 ] [ 1*2*3=6 ] - [ 4 5 6 ] => [ 4*5*6=120 ] - [ 7 8 9 ] [ 7*8*9=504 ] - */ - dcolumnproda(table1, 3, 3,columnProductedTable1_3_3); - assert(columnProductedTable1_3_3[0] == 6.0); - assert(columnProductedTable1_3_3[1] == 120.0); - assert(columnProductedTable1_3_3[2] == 504.0); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 362880 ] - */ - dcolumnproda(table1, 1, 9,columnProductedTable1_1_9); - assert(columnProductedTable1_1_9[0] == 362880.0); - - /* - [ 1 ] [ 1 ] - [ 2 ] [ 2 ] - [ 3 ] [ 3 ] - [ 4 ] [ 4 ] - [ 5 ] => [ 5 ] - [ 6 ] [ 6 ] - [ 7 ] [ 7 ] - [ 8 ] [ 8 ] - [ 9 ] [ 9 ] - */ - dcolumnproda(table1, 9, 1,columnProductedTable1_9_1); - for ( i = 0 ; i < 9 ; ++i) { - printf("columnProductedTable1_9_1[%d] = %e\n", i, columnProductedTable1_9_1[i]); - assert(columnProductedTable1_9_1[i] == table1[i]); - } - - /* - [ 1 3 5 7 9 ] [ 945 ] - [ 2 4 6 8 10 ] => [ 3840 ] - */ - dcolumnproda(table2, 2, 5,columnProductedTable2_2_5); - assert(columnProductedTable2_2_5[0] == 945.0); - assert(columnProductedTable2_2_5[1] == 3840.0); - for ( i = 0 ; i < 2 ; ++i) { - printf("columnProductedTable2_2_5[%d] = %e\n", i, columnProductedTable2_2_5[i]); - } - - /* - [ 1 6 ] [ 6 ] - [ 2 7 ] => [ 14 ] - [ 3 8 ] [ 24 ] - [ 4 9 ] [ 36 ] - [ 5 10 ] [ 50 ] - */ - dcolumnproda(table2, 5, 2,columnProductedTable2_5_2); - assert(columnProductedTable2_5_2[0] == 6.0); - assert(columnProductedTable2_5_2[1] == 14.0); - assert(columnProductedTable2_5_2[2] == 24.0); - assert(columnProductedTable2_5_2[3] == 36.0); - assert(columnProductedTable2_5_2[4] == 50.0); - for ( i = 0 ; i < 5 ; ++i) { - printf("columnProductedTable2_5_2[%d] = %e\n", i, columnProductedTable2_5_2[i]); - } - - return 0; -} - -static int drowprodaTest(void) { - int i = 0; - double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0}; - double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}; - double rowProductedTable1_3_3[3] = {0}; - double rowProductedTable1_1_9[9] = {0}; - double rowProductedTable1_9_1[1] = {0}; - double rowProductedTable2_2_5[5] = {0}; - double rowProductedTable2_5_2[2] = {0}; - - printf("\n>>>> Row prod Double Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 28 80 162 ] - [ 7 8 9 ] - */ - drowproda(table1, 3, 3,rowProductedTable1_3_3); - for ( i = 0 ; i < 3 ; ++i) { - printf("rowProductedTable1_3_3[%d] = %e\n", i, rowProductedTable1_3_3[i]); - } - assert(rowProductedTable1_3_3[0] == 28.0); - assert(rowProductedTable1_3_3[1] == 80.0); - assert(rowProductedTable1_3_3[2] == 162.0); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 1 2 3 4 5 6 7 8 9 ] - */ - drowproda(table1, 1, 9,rowProductedTable1_1_9); - for ( i = 0 ; i < 9 ; ++i) { - printf("rowProductedTable1_1_9[%d] = %e\n", i, rowProductedTable1_1_9[i]); - assert(rowProductedTable1_1_9[i] == table1[i]); - } - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 362880 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - drowproda(table1, 9, 1,rowProductedTable1_9_1); - assert(rowProductedTable1_9_1[0] == 362880.0); - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 2 12 30 56 90 ] - */ - drowproda(table2, 2, 5,rowProductedTable2_2_5); - assert(rowProductedTable2_2_5[0] == 2.0); - assert(rowProductedTable2_2_5[1] == 12.0); - assert(rowProductedTable2_2_5[2] == 30.0); - assert(rowProductedTable2_2_5[3] == 56.0); - assert(rowProductedTable2_2_5[4] == 90.0); - for ( i = 0 ; i < 5 ; ++i) { - printf("rowProductedTable2_2_5[%d] = %e\n", i, rowProductedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 120 30240 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - drowproda(table2, 5, 2,rowProductedTable2_5_2); - assert(rowProductedTable2_5_2[0] == 120.0); - assert(rowProductedTable2_5_2[1] == 30240.0); - for ( i = 0 ; i < 2 ; ++i) { - printf("rowProductedTable2_5_2[%d] = %e\n", i, rowProductedTable2_5_2[i]); - } - - return 0; -} - -static int zprodsTest(void) { - doubleComplex value1 = DoubleComplex(3.0, 3.0); - doubleComplex value2 = DoubleComplex(1.123456789, 1.123456789); - - printf("\n>>>> prod Double Complex Scalar Test\n"); - assert(zreals(zprods(value1)) == 3.0); - assert(zimags(zprods(value1)) == 3.0); - assert(zreals(zprods(value2)) == 1.123456789); - assert(zimags(zprods(value2)) == 1.123456789); - return 0; -} - -static int zprodaTest(void) { - doubleComplex value1 = DoubleComplex(3.0, 3.0); - doubleComplex table1[3]; - doubleComplex value2 = DoubleComplex(9.186784563,9.186784563); - doubleComplex table2[5]; - - printf("\n>>>> prod Double Complex Array Test\n"); - table1[0] = value1; - table1[1] = value1; - table1[2] = value1; - - table2[0] = value2; - table2[1] = value2; - table2[2] = value2; - table2[3] = value2; - table2[4] = value2; - -#ifdef LOCAL_DEBUG - printf("--------\n"); - printf("%e\n", zreals(zproda(table1, 3))); - printf("%e\n", zimags(zproda(table1, 3))); - printf("%1.20f\n", zreals(zproda(table2, 5))); - printf("%1.20f\n", zimags(zproda(table2, 5))); - printf("%1.20f\n", zreals(zproda(table2, 5)) + 261744.55211053110542707); - printf("--------\n"); -#endif - assert(zreals(zproda(table1, 3)) == -54.0); - assert(zimags(zproda(table1, 3)) == 54.0); - assert(fabs(zreals(zproda(table2, 5)) + 261744.55211053110542707) < 3e-16); - assert(fabs(zimags(zproda(table2, 5)) + 261744.55211053110542707) < 3e-16); - - return 0; -} - -static int zrowprodaTest(void) { - int i = 0; - doubleComplex in[12]; - doubleComplex rowProductedIn_4_3[3]; - doubleComplex rowProductedIn_3_4[4]; - doubleComplex rowProductedIn_6_2[2]; - doubleComplex rowProductedIn_2_6[6]; - doubleComplex rowProductedIn_1_12[12]; - doubleComplex rowProductedIn_12_1[1]; - - printf("\n>>>> Row prod Double Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 0.6787000000000000810019 - 0.5456i - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - 0.3964999999999999635847, - [ 0.3+0.8i 0.7+0.4i 1.1 ] 0.678700000000000192024 + 0.5456i] - */ - zrowproda(in, 4, 3, rowProductedIn_4_3); - for (i = 0 ; i < 3 ; ++i) { - printf("rowProductedIn_4_3[%d] = %e + %ei\n", i, zreals(rowProductedIn_4_3[i]), zimags(rowProductedIn_4_3[i])); - } - assert(fabs(zreals(rowProductedIn_4_3[0]) - 0.6787000000000000810019) < 3e-16); - assert(fabs(zimags(rowProductedIn_4_3[0]) + 0.5456) < 3e-16); - assert(fabs(zreals(rowProductedIn_4_3[1]) + 0.3964999999999999635847) < 3e-16); - assert(fabs(zimags(rowProductedIn_4_3[1]) - 0.0) < 3e-16); - assert(fabs(zreals(rowProductedIn_4_3[2]) - 0.6787000000000000810019) < 3e-16); - assert(fabs(zimags(rowProductedIn_4_3[2]) - 0.5456) < 3e-16); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ - 0.3190000000000000612843 - 0.9680000000000000826006i, - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - 0.5380000000000000337508 + 0.0010000000000000563993i, - - 0.0010000000000000008882 + 0.5379999999999999227285i, - 0.9680000000000000826006 + 0.3190000000000000612843i ] - */ - zrowproda(in, 3, 4, rowProductedIn_3_4); - for (i = 0 ; i < 4 ; ++i) { - printf("rowProductedIn_3_4[%d] = %e + %ei\n", i, zreals(rowProductedIn_3_4[i]), zimags(rowProductedIn_3_4[i])); - } - assert(fabs(zreals(rowProductedIn_3_4[0]) + 0.3190000000000000612843) < 3e-16); - assert(fabs(zimags(rowProductedIn_3_4[0]) + 0.9680000000000000826006) < 3e-16); - assert(fabs(zreals(rowProductedIn_3_4[1]) + 0.5380000000000000337508) < 3e-16); - assert(fabs(zimags(rowProductedIn_3_4[1]) - 0.0010000000000000563993 ) < 3e-16); - assert(fabs(zreals(rowProductedIn_3_4[2]) + 0.0010000000000000008882) < 3e-16); - assert(fabs(zimags(rowProductedIn_3_4[2]) - 0.5379999999999999227285) < 3e-16); - assert(fabs(zreals(rowProductedIn_3_4[3]) - 0.9680000000000000826006) < 3e-16); - assert(fabs(zimags(rowProductedIn_3_4[3]) - 0.3190000000000000612843) < 3e-16); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 0.1725900000000000766853 + 0.5204650000000000664713i, - [ 0.3+0.8i 0.9+0.2i ] - 0.1725899999999999934186 + 0.5204649999999999554490i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - zrowproda(in, 6, 2, rowProductedIn_6_2); - for (i = 0 ; i < 2 ; ++i) { - printf("rowProductedIn_6_2[%d] = %e + %ei\n", i, zreals(rowProductedIn_6_2[i]), zimags(rowProductedIn_6_2[i])); - } - assert(fabs(zreals(rowProductedIn_6_2[0]) - 0.1725900000000000766853) < 3e-16); - assert(fabs(zimags(rowProductedIn_6_2[0]) - 0.5204650000000000664713) < 3e-16); - assert(fabs(zreals(rowProductedIn_6_2[1]) + 0.1725899999999999934186) < 3e-16); - assert(fabs(zimags(rowProductedIn_6_2[1]) - 0.5204649999999999554490 ) < 3e-16); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ - 1.1000000000000000888178 + 0.11i, - - 0.6600000000000001421086 + 0.4300000000000000488498i, - - 0.2199999999999999733547 + 0.5899999999999999689138i, - 0.2199999999999999733547 + 0.5899999999999999689138i, - 0.6600000000000001421086 + 0.4300000000000000488498i, - 1.1000000000000000888178 + 0.11i ] - */ - zrowproda(in, 2, 6, rowProductedIn_2_6); - for (i = 0 ; i < 6 ; ++i) { - printf("rowProductedIn_2_6[%d] = %e + %ei\n", i, zreals(rowProductedIn_2_6[i]), zimags(rowProductedIn_2_6[i])); - } - assert(fabs(zreals(rowProductedIn_2_6[0]) + 1.1000000000000000888178) < 3e-16); - assert(fabs(zimags(rowProductedIn_2_6[0]) - 0.11) < 3e-16); - assert(fabs(zreals(rowProductedIn_2_6[1]) + 0.6600000000000001421086) < 3e-16); - assert(fabs(zimags(rowProductedIn_2_6[1]) - 0.4300000000000000488498 ) < 3e-16); - assert(fabs(zreals(rowProductedIn_2_6[2]) + 0.2199999999999999733547) < 3e-16); - assert(fabs(zimags(rowProductedIn_2_6[2]) - 0.5899999999999999689138) < 3e-16); - assert(fabs(zreals(rowProductedIn_2_6[3]) - 0.2199999999999999733547) < 3e-16); - assert(fabs(zimags(rowProductedIn_2_6[3]) - 0.5899999999999999689138 ) < 3e-16); - assert(fabs(zreals(rowProductedIn_2_6[4]) - 0.6600000000000001421086) < 3e-16); - assert(fabs(zimags(rowProductedIn_2_6[4]) - 0.4300000000000000488498) < 3e-16); - assert(fabs(zreals(rowProductedIn_2_6[5]) - 1.1000000000000000888178) < 3e-16); - assert(fabs(zimags(rowProductedIn_2_6[5]) - 0.11 ) < 3e-16); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - */ - zrowproda(in, 1, 12, rowProductedIn_1_12); - for (i = 0 ; i < 12 ; ++i) { - printf("rowProductedIn_1_12[%d] = %e + %ei\n", i, zreals(rowProductedIn_1_12[i]), zimags(rowProductedIn_1_12[i])); - assert(zreals(rowProductedIn_1_12[i]) == zreals(in[i]) && zimags(rowProductedIn_1_12[i]) == zimags(in[i])); - } - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [- 0.3006711243250001497351 + 0.0000000000000000038164i ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - - */ - zrowproda(in, 12, 1, rowProductedIn_12_1); - printf("rowProductedIn_12_1[%d] = %e + %ei\n", 0, zreals(rowProductedIn_12_1[0]), zimags(rowProductedIn_12_1[0])); - assert(fabs(zreals(rowProductedIn_12_1[0]) + 0.3006711243250001497351) < 3e-16); - assert(fabs(zimags(rowProductedIn_12_1[0]) - 0.0000000000000000038164) < 3e-16); - - return 0; -} - -static int zcolumnprodaTest(void) { - int i = 0; - doubleComplex in[12]; - doubleComplex columnProductedIn_4_3[4]; - doubleComplex columnProductedIn_3_4[3]; - doubleComplex columnProductedIn_6_2[6]; - doubleComplex columnProductedIn_2_6[2]; - doubleComplex columnProductedIn_1_12[1]; - doubleComplex columnProductedIn_12_1[12]; - - printf("\n>>>> Columnprod Double Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] [ - 0.7480000000000001092460 + 0.1210000000000001074696i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ - 0.6069999999999999840128 + 0.3940000000000001278977i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] [ - 0.3940000000000000168754 + 0.6069999999999999840128i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] [ - 0.1210000000000000935918 + 0.7479999999999999982236i ] - */ - zcolumnproda(in, 4, 3, columnProductedIn_4_3); - for (i = 0 ; i < 4 ; ++i) { - printf("columnProductedIn_4_3[%d] = %e + %ei\n", i, zreals(columnProductedIn_4_3[i]), zimags(columnProductedIn_4_3[i])); - } - assert(fabs(zreals(columnProductedIn_4_3[0]) + 0.7480000000000001092460) < 3e-16); - assert(fabs(zimags(columnProductedIn_4_3[0]) - 0.1210000000000001074696) < 3e-16); - assert(fabs(zreals(columnProductedIn_4_3[1]) + 0.6069999999999999840128) < 3e-16); - assert(fabs(zimags(columnProductedIn_4_3[1]) - 0.394000000000000127897) < 3e-16); - assert(fabs(zreals(columnProductedIn_4_3[2]) + 0.3940000000000000168754) < 3e-16); - assert(fabs(zimags(columnProductedIn_4_3[2]) - 0.606999999999999984012) < 3e-16); - assert(fabs(zreals(columnProductedIn_4_3[3]) + 0.1210000000000000935918) < 3e-16); - assert(fabs(zimags(columnProductedIn_4_3[3]) - 0.7479999999999999982236) < 3e-16); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] [ - 0.5753000000000000335731 - 0.3564000000000000500933i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ - 0.6564999999999998614442 + 0.0000000000000000693889i ] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] [ - 0.5753000000000001445955 + 0.3564000000000001056044i ] - */ - zcolumnproda(in, 3, 4, columnProductedIn_3_4); - for (i = 0 ; i < 3 ; ++i) { - printf("columnProductedIn_3_4[%d] = %e + %ei\n", i, zreals(columnProductedIn_3_4[i]), zimags(columnProductedIn_3_4[i])); - } - assert(fabs(zreals(columnProductedIn_3_4[0]) + 0.5753000000000000335731) < 3e-16); - assert(fabs(zimags(columnProductedIn_3_4[0]) + 0.3564000000000000500933) < 3e-16); - assert(fabs(zreals(columnProductedIn_3_4[1]) + 0.6564999999999998614442) < 3e-16); - assert(fabs(zimags(columnProductedIn_3_4[1]) - 0.0000000000000000693889) < 3e-16); - assert(fabs(zreals(columnProductedIn_3_4[2]) + 0.5753000000000001445955) < 3e-16); - assert(fabs(zimags(columnProductedIn_3_4[2]) - 0.3564000000000001056044) < 3e-16); - - /* - [ 1.1i 0.6+0.5i ] [ - 0.5500000000000000444089 + 0.6600000000000000310862i ] - [ 0.1+i 0.7+0.4i ] [ - 0.3300000000000000155431 + 0.7399999999999999911182i ] - [ 0.2+0.9i 0.8+0.3i ] => [ - 0.1099999999999999866773 + 0.7800000000000000266454i ] - [ 0.3+0.8i 0.9+0.2i ] [ 0.1099999999999999866773 + 0.7800000000000000266454i ] - [ 0.4+0.7i 1+0.1i ] [ 0.3300000000000000155431 + 0.7399999999999999911182i ] - [ 0.5+0.6i 1.1 ] [ 0.5500000000000000444089 + 0.6600000000000000310862i ] - */ - zcolumnproda(in, 6, 2, columnProductedIn_6_2); - for (i = 0 ; i < 6 ; ++i) { - printf("columnProductedIn_6_2[%d] = %e + %ei\n", i, zreals(columnProductedIn_6_2[i]), zimags(columnProductedIn_6_2[i])); - } - assert(fabs(zreals(columnProductedIn_6_2[0]) + 0.5500000000000000444089) < 3e-16); - assert(fabs(zimags(columnProductedIn_6_2[0]) - 0.6600000000000000310862) < 3e-16); - assert(fabs(zreals(columnProductedIn_6_2[1]) + 0.3300000000000000155431) < 3e-16); - assert(fabs(zimags(columnProductedIn_6_2[1]) - 0.7399999999999999911182) < 3e-16); - assert(fabs(zreals(columnProductedIn_6_2[2]) + 0.1099999999999999866773) < 3e-16); - assert(fabs(zimags(columnProductedIn_6_2[2]) - 0.7800000000000000266454) < 3e-16); - assert(fabs(zreals(columnProductedIn_6_2[3]) - 0.1099999999999999866773) < 3e-16); - assert(fabs(zimags(columnProductedIn_6_2[3]) - 0.7800000000000000266454) < 3e-16); - assert(fabs(zreals(columnProductedIn_6_2[4]) - 0.3300000000000000155431) < 3e-16); - assert(fabs(zimags(columnProductedIn_6_2[4]) - 0.7399999999999999911182) < 3e-16); - assert(fabs(zreals(columnProductedIn_6_2[5]) - 0.5500000000000000444089) < 3e-16); - assert(fabs(zimags(columnProductedIn_6_2[5]) - 0.6600000000000000310862) < 3e-16); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] [ 0.2212649999999999894662 - 0.5017100000000001003286i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ - 0.2212649999999999894662 - 0.5017100000000001003286i ] - */ - zcolumnproda(in, 2, 6, columnProductedIn_2_6); - for (i = 0 ; i < 2 ; ++i) { - printf("columnProductedIn_2_6[%d] = %e + %ei\n", i, zreals(columnProductedIn_2_6[i]), zimags(columnProductedIn_2_6[i])); - } - assert(fabs(zreals(columnProductedIn_2_6[0]) - 0.2212649999999999894662) < 3e-16); - assert(fabs(zimags(columnProductedIn_2_6[0]) + 0.5017100000000001003286) < 3e-16); - assert(fabs(zreals(columnProductedIn_2_6[1]) + 0.2212649999999999894662) < 3e-16); - assert(fabs(zimags(columnProductedIn_2_6[1]) + 0.5017100000000001003286) < 3e-16); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ - 0.3006711243250001497351 + 0.0000000000000000038164i ] - */ - zcolumnproda(in, 1, 12, columnProductedIn_1_12); - printf("columnProductedIn_1_12[%d] = %e + %ei\n", 0, zreals(columnProductedIn_1_12[0]), zimags(columnProductedIn_1_12[0])); - assert(fabs(zreals(columnProductedIn_1_12[0]) + 0.3006711243250001497351) < 3e-16); - assert(fabs(zimags(columnProductedIn_1_12[0]) - 0.0000000000000000038164) < 3e-16); - - - /* - [ 1.1i ] => [ 1.1i ] - [ 0.1+i ] => [ 0.1+i ] - [ 0.2+0.9i ] => [ 0.2+0.9i ] - [ 0.3+0.8i ] => [ 0.3+0.8i ] - [ 0.4+0.7i ] => [ 0.4+0.7i ] - [ 0.5+0.6i ] => [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 0.6+0.5i ] - [ 0.7+0.4i ] => [ 0.7+0.4i ] - [ 0.8+0.3i ] => [ 0.8+0.3i ] - [ 0.9+0.2i ] => [ 0.9+0.2i ] - [ 1+0.1i ] => [ 1+0.1i ] - [ 1.1 ] => [ 1.1 ] - */ - zcolumnproda(in, 12, 1, columnProductedIn_12_1); - for (i = 0 ; i < 12 ; ++i) { - printf("columnProductedIn_12_1[%d] = %e + %ei\n", i, zreals(columnProductedIn_12_1[i]), zimags(columnProductedIn_12_1[i])); - assert(zreals(columnProductedIn_12_1[i]) == zreals(in[i]) && zimags(columnProductedIn_12_1[i]) == zimags(in[i])); - } - - return 0; -} - -static int testprod(void) { - - dprodsTest(); - dprodaTest(); - drowprodaTest(); - dcolumnprodaTest(); - zprodsTest(); - zprodaTest(); - zrowprodaTest(); - zcolumnprodaTest(); - - return 0; -} - -int main(void) { - assert(testprod() == 0); - return 0; -} diff --git a/src/statisticsFunctions/prod/testFloatProd.c b/src/statisticsFunctions/prod/testFloatProd.c deleted file mode 100644 index b5fe20c4..00000000 --- a/src/statisticsFunctions/prod/testFloatProd.c +++ /dev/null @@ -1,527 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> -#include <math.h> -#include "prod.h" - - #define LOCAL_DEBUG - -static int sprodsTest(void) { - float value1 = 3.0f; - float value2 = 1.123456789f; - - printf("\n>>>> Prod Float Scalar Test\n"); - assert(sprods(value1) == 3.0f); - assert(sprods(value2) == 1.123456789f); - - return 0; -} - -static int sprodaTest(void) { - float table1[3] = {3.0f, 3.0f, 3.0f}; - float table2[5] = {9.186784563f, - 9.186784563f, - 9.186784563f, - 9.186784563f, - 9.186784563f}; - - printf("\n>>>> Prod Float Array Test\n"); - printf("%f\n", sproda(table1, 3)); - assert(sproda(table1, 3) == 27.0f); - assert((sproda(table2, 5) - (9.186784f * 9.186784f * 9.186784f * 9.186784f * 9.186784f)) / sproda(table2, 5) < 1e-6); - return 0; -} - -static int scolumnprodaTest(void) { - int i = 0; - float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; - float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}; - float columnProductedTable1_3_3[3] = {0}; - float columnProductedTable1_1_9[1] = {0}; - float columnProductedTable1_9_1[9] = {0}; - float columnProductedTable2_2_5[2] = {0}; - float columnProductedTable2_5_2[5] = {0}; - - printf("\n>>>> Column Prod Float Array Test\n"); - /* - [ 1 2 3 ] [ 1*2*3=6 ] - [ 4 5 6 ] => [ 4*5*6=120 ] - [ 7 8 9 ] [ 7*8*9=504 ] - */ - scolumnproda(table1, 3, 3,columnProductedTable1_3_3); - assert(columnProductedTable1_3_3[0] == 6.0f); - assert(columnProductedTable1_3_3[1] == 120.0f); - assert(columnProductedTable1_3_3[2] == 504.0f); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 362880 ] - */ - scolumnproda(table1, 1, 9,columnProductedTable1_1_9); - assert(columnProductedTable1_1_9[0] == 362880.0f); - - /* - [ 1 ] [ 1 ] - [ 2 ] [ 2 ] - [ 3 ] [ 3 ] - [ 4 ] [ 4 ] - [ 5 ] => [ 5 ] - [ 6 ] [ 6 ] - [ 7 ] [ 7 ] - [ 8 ] [ 8 ] - [ 9 ] [ 9 ] - */ - scolumnproda(table1, 9, 1,columnProductedTable1_9_1); - for ( i = 0 ; i < 9 ; ++i) { - printf("columnProductedTable1_9_1[%d] = %e\n", i, columnProductedTable1_9_1[i]); - assert(columnProductedTable1_9_1[i] == table1[i]); - } - - /* - [ 1 3 5 7 9 ] [ 945 ] - [ 2 4 6 8 10 ] => [ 3840 ] - */ - scolumnproda(table2, 2, 5,columnProductedTable2_2_5); - assert(columnProductedTable2_2_5[0] == 945.0f); - assert(columnProductedTable2_2_5[1] == 3840.0f); - for ( i = 0 ; i < 2 ; ++i) { - printf("columnProductedTable2_2_5[%d] = %e\n", i, columnProductedTable2_2_5[i]); - } - - /* - [ 1 6 ] [ 6 ] - [ 2 7 ] => [ 14 ] - [ 3 8 ] [ 24 ] - [ 4 9 ] [ 36 ] - [ 5 10 ] [ 50 ] - */ - scolumnproda(table2, 5, 2,columnProductedTable2_5_2); - assert(columnProductedTable2_5_2[0] == 6.0f); - assert(columnProductedTable2_5_2[1] == 14.0f); - assert(columnProductedTable2_5_2[2] == 24.0f); - assert(columnProductedTable2_5_2[3] == 36.0f); - assert(columnProductedTable2_5_2[4] == 50.0f); - for ( i = 0 ; i < 5 ; ++i) { - printf("columnProductedTable2_5_2[%d] = %e\n", i, columnProductedTable2_5_2[i]); - } - - return 0; -} - -static int srowprodaTest(void) { - int i = 0; - float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; - float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}; - float rowProductedTable1_3_3[3] = {0}; - float rowProductedTable1_1_9[9] = {0}; - float rowProductedTable1_9_1[1] = {0}; - float rowProductedTable2_2_5[5] = {0}; - float rowProductedTable2_5_2[2] = {0}; - - printf("\n>>>> Row Prod Float Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 28 80 162 ] - [ 7 8 9 ] - */ - srowproda(table1, 3, 3,rowProductedTable1_3_3); - for ( i = 0 ; i < 3 ; ++i) { - printf("rowProductedTable1_3_3[%d] = %e\n", i, rowProductedTable1_3_3[i]); - } - assert(rowProductedTable1_3_3[0] == 28.0f); - assert(rowProductedTable1_3_3[1] == 80.0f); - assert(rowProductedTable1_3_3[2] == 162.0f); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 1 2 3 4 5 6 7 8 9 ] - */ - srowproda(table1, 1, 9,rowProductedTable1_1_9); - for ( i = 0 ; i < 9 ; ++i) { - printf("rowProductedTable1_1_9[%d] = %e\n", i, rowProductedTable1_1_9[i]); - assert(rowProductedTable1_1_9[i] == table1[i]); - } - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 362880 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - srowproda(table1, 9, 1,rowProductedTable1_9_1); - assert(rowProductedTable1_9_1[0] == 362880.0f); - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 2 12 30 56 90 ] - */ - srowproda(table2, 2, 5,rowProductedTable2_2_5); - assert(rowProductedTable2_2_5[0] == 2.0f); - assert(rowProductedTable2_2_5[1] == 12.0f); - assert(rowProductedTable2_2_5[2] == 30.0f); - assert(rowProductedTable2_2_5[3] == 56.0f); - assert(rowProductedTable2_2_5[4] == 90.0f); - for ( i = 0 ; i < 5 ; ++i) { - printf("rowProductedTable2_2_5[%d] = %e\n", i, rowProductedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 120 30240 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - srowproda(table2, 5, 2,rowProductedTable2_5_2); - assert(rowProductedTable2_5_2[0] == 120.0f); - assert(rowProductedTable2_5_2[1] == 30240.0f); - for ( i = 0 ; i < 2 ; ++i) { - printf("rowProductedTable2_5_2[%d] = %e\n", i, rowProductedTable2_5_2[i]); - } - - return 0; -} - -static int cprodsTest(void) { - floatComplex value1 = FloatComplex(3.0f, 3.0f); - floatComplex value2 = FloatComplex(1.123456789f, 1.123456789f); - - printf("\n>>>> Prod Float Complex Scalar Test\n"); - assert(creals(cprods(value1)) == 3.0f); - assert(cimags(cprods(value1)) == 3.0f); - assert(creals(cprods(value2)) == 1.123456789f); - assert(cimags(cprods(value2)) == 1.123456789f); - return 0; -} - -static int cprodaTest(void) { - floatComplex value1 = FloatComplex(3.0f, 3.0f); - floatComplex table1[3]; - floatComplex value2 = FloatComplex(9.186784563f,9.186784563f); - floatComplex table2[5]; - - printf("\n>>>> Prod Float Complex Array Test\n"); - table1[0] = value1; - table1[1] = value1; - table1[2] = value1; - - table2[0] = value2; - table2[1] = value2; - table2[2] = value2; - table2[3] = value2; - table2[4] = value2; - -#ifdef LOCAL_DEBUG - printf("--------\n"); - printf("%e\n", creals(cproda(table1, 3))); - printf("%e\n", cimags(cproda(table1, 3))); - printf("%1.20f\n", creals(cproda(table2, 5))); - printf("%1.20f\n", cimags(cproda(table2, 5))); - printf("%1.20f\n", creals(cproda(table2, 5)) + 261744.55211053110542707f); - printf("--------\n"); -#endif - - assert(creals(cproda(table1, 3)) == -54.0f); - assert(cimags(cproda(table1, 3)) == 54.0f); - assert(fabs(creals(cproda(table2, 5)) + 261744.55211053110542707f)/creals(cproda(table2, 5)) < 1e-06); - assert(fabs(cimags(cproda(table2, 5)) + 261744.55211053110542707f)/cimags(cproda(table2, 5)) < 1e-06); - - return 0; -} - -static int crowprodaTest(void) { - int i = 0; - floatComplex in[12]; - floatComplex rowProductedIn_4_3[3]; - floatComplex rowProductedIn_3_4[4]; - floatComplex rowProductedIn_6_2[2]; - floatComplex rowProductedIn_2_6[6]; - floatComplex rowProductedIn_1_12[12]; - floatComplex rowProductedIn_12_1[1]; - - printf("\n>>>> Row Prod Float Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 0.6787000000000000810019 - 0.5456i - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - 0.3964999999999999635847, - [ 0.3+0.8i 0.7+0.4i 1.1 ] 0.678700000000000192024 + 0.5456i] - */ - crowproda(in, 4, 3, rowProductedIn_4_3); - for (i = 0 ; i < 3 ; ++i) { - printf("rowProductedIn_4_3[%d] = %e + %ei\n", i, creals(rowProductedIn_4_3[i]), cimags(rowProductedIn_4_3[i])); - } - assert(fabs(creals(rowProductedIn_4_3[0]) - 0.6787000000000000810019f) < 1e-06); - assert(fabs(cimags(rowProductedIn_4_3[0]) + 0.5456f) < 1e-06); - assert(fabs(creals(rowProductedIn_4_3[1]) + 0.3964999999999999635847f) < 1e-06); - assert(fabs(cimags(rowProductedIn_4_3[1]) - 0.0f) < 1e-06); - assert(fabs(creals(rowProductedIn_4_3[2]) - 0.6787000000000000810019f) < 1e-06); - assert(fabs(cimags(rowProductedIn_4_3[2]) - 0.5456f) < 1e-06); - - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ - 0.3190000000000000612843 - 0.9680000000000000826006i, - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - 0.5380000000000000337508 + 0.0010000000000000563993i, - - 0.0010000000000000008882 + 0.5379999999999999227285i, - 0.9680000000000000826006 + 0.3190000000000000612843i ] - */ - crowproda(in, 3, 4, rowProductedIn_3_4); - for (i = 0 ; i < 4 ; ++i) { - printf("rowProductedIn_3_4[%d] = %e + %ei\n", i, creals(rowProductedIn_3_4[i]), cimags(rowProductedIn_3_4[i])); - } - assert(fabs(creals(rowProductedIn_3_4[0]) + 0.3190000000000000612843f) < 1e-06); - assert(fabs(cimags(rowProductedIn_3_4[0]) + 0.9680000000000000826006f) < 1e-06); - assert(fabs(creals(rowProductedIn_3_4[1]) + 0.5380000000000000337508f) < 1e-06); - assert(fabs(cimags(rowProductedIn_3_4[1]) - 0.0010000000000000563993 ) < 1e-06); - assert(fabs(creals(rowProductedIn_3_4[2]) + 0.0010000000000000008882f) < 1e-06); - assert(fabs(cimags(rowProductedIn_3_4[2]) - 0.5379999999999999227285f) < 1e-06); - assert(fabs(creals(rowProductedIn_3_4[3]) - 0.9680000000000000826006f) < 1e-06); - assert(fabs(cimags(rowProductedIn_3_4[3]) - 0.3190000000000000612843f) < 1e-06); - - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 0.1725900000000000766853 + 0.5204650000000000664713i, - [ 0.3+0.8i 0.9+0.2i ] - 0.1725899999999999934186 + 0.5204649999999999554490i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - crowproda(in, 6, 2, rowProductedIn_6_2); - for (i = 0 ; i < 2 ; ++i) { - printf("rowProductedIn_6_2[%d] = %e + %ei\n", i, creals(rowProductedIn_6_2[i]), cimags(rowProductedIn_6_2[i])); - } - - assert(fabs(creals(rowProductedIn_6_2[0]) - 0.1725900000000000766853f) < 1e-06); - assert(fabs(cimags(rowProductedIn_6_2[0]) - 0.5204650000000000664713f) < 1e-06); - assert(fabs(creals(rowProductedIn_6_2[1]) + 0.1725899999999999934186f) < 1e-06); - assert(fabs(cimags(rowProductedIn_6_2[1]) - 0.5204649999999999554490 ) < 1e-06); - - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ - 1.1000000000000000888178 + 0.11i, - - 0.6600000000000001421086 + 0.4300000000000000488498i, - - 0.2199999999999999733547 + 0.5899999999999999689138i, - 0.2199999999999999733547 + 0.5899999999999999689138i, - 0.6600000000000001421086 + 0.4300000000000000488498i, - 1.1000000000000000888178 + 0.11i ] - - */ - crowproda(in, 2, 6, rowProductedIn_2_6); - for (i = 0 ; i < 6 ; ++i) { - printf("rowProductedIn_2_6[%d] = %e + %ei\n", i, creals(rowProductedIn_2_6[i]), cimags(rowProductedIn_2_6[i])); - } - - assert(fabs(creals(rowProductedIn_2_6[0]) + 1.1000000000000000888178f) < 1e-06); - assert(fabs(cimags(rowProductedIn_2_6[0]) - 0.11f) < 1e-06); - assert(fabs(creals(rowProductedIn_2_6[1]) + 0.6600000000000001421086f) < 1e-06); - assert(fabs(cimags(rowProductedIn_2_6[1]) - 0.4300000000000000488498 ) < 1e-06); - assert(fabs(creals(rowProductedIn_2_6[2]) + 0.2199999999999999733547f) < 1e-06); - assert(fabs(cimags(rowProductedIn_2_6[2]) - 0.5899999999999999689138f) < 1e-06); - assert(fabs(creals(rowProductedIn_2_6[3]) - 0.2199999999999999733547f) < 1e-06); - assert(fabs(cimags(rowProductedIn_2_6[3]) - 0.5899999999999999689138 ) < 1e-06); - assert(fabs(creals(rowProductedIn_2_6[4]) - 0.6600000000000001421086f) < 1e-06); - assert(fabs(cimags(rowProductedIn_2_6[4]) - 0.4300000000000000488498f) < 1e-06); - assert(fabs(creals(rowProductedIn_2_6[5]) - 1.1000000000000000888178f) < 1e-06); - assert(fabs(cimags(rowProductedIn_2_6[5]) - 0.11 ) < 1e-06); - - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - */ - crowproda(in, 1, 12, rowProductedIn_1_12); - for (i = 0 ; i < 12 ; ++i) { - printf("rowProductedIn_1_12[%d] = %e + %ei\n", i, creals(rowProductedIn_1_12[i]), cimags(rowProductedIn_1_12[i])); - assert(creals(rowProductedIn_1_12[i]) == creals(in[i]) && cimags(rowProductedIn_1_12[i]) == cimags(in[i])); - } - - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [- 0.3006711243250001497351 + 0.0000000000000000038164i ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - - - */ - crowproda(in, 12, 1, rowProductedIn_12_1); - printf("rowProductedIn_12_1[%d] = %e + %ei\n", 0, creals(rowProductedIn_12_1[0]), cimags(rowProductedIn_12_1[0])); - assert(fabs(creals(rowProductedIn_12_1[0]) + 0.3006711243250001497351f) < 1e-06); - assert(fabs(cimags(rowProductedIn_12_1[0]) - 0.0000000000000000038164f) < 1e-06); - - return 0; -} - -static int ccolumnprodaTest(void) { - int i = 0; - floatComplex in[12]; - floatComplex columnProductedIn_4_3[4]; - floatComplex columnProductedIn_3_4[3]; - floatComplex columnProductedIn_6_2[6]; - floatComplex columnProductedIn_2_6[2]; - floatComplex columnProductedIn_1_12[1]; - floatComplex columnProductedIn_12_1[12]; - - printf("\n>>>> ColumnProd Float Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] [ - 0.7480000000000001092460 + 0.1210000000000001074696i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ - 0.6069999999999999840128 + 0.3940000000000001278977i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] [ - 0.3940000000000000168754 + 0.6069999999999999840128i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] [ - 0.1210000000000000935918 + 0.7479999999999999982236i ] - */ - ccolumnproda(in, 4, 3, columnProductedIn_4_3); - for (i = 0 ; i < 4 ; ++i) { - printf("columnProductedIn_4_3[%d] = %e + %ei\n", i, creals(columnProductedIn_4_3[i]), cimags(columnProductedIn_4_3[i])); - } - assert(fabs(creals(columnProductedIn_4_3[0]) + 0.7480000000000001092460f) < 1e-06); - assert(fabs(cimags(columnProductedIn_4_3[0]) - 0.1210000000000001074696f) < 1e-06); - assert(fabs(creals(columnProductedIn_4_3[1]) + 0.6069999999999999840128f) < 1e-06); - assert(fabs(cimags(columnProductedIn_4_3[1]) - 0.394000000000000127897f) < 1e-06); - assert(fabs(creals(columnProductedIn_4_3[2]) + 0.3940000000000000168754f) < 1e-06); - assert(fabs(cimags(columnProductedIn_4_3[2]) - 0.606999999999999984012f) < 1e-06); - assert(fabs(creals(columnProductedIn_4_3[3]) + 0.1210000000000000935918f) < 1e-06); - assert(fabs(cimags(columnProductedIn_4_3[3]) - 0.7479999999999999982236f) < 1e-06); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] [ - 0.5753000000000000335731 - 0.3564000000000000500933i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ - 0.6564999999999998614442 + 0.0000000000000000693889i ] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] [ - 0.5753000000000001445955 + 0.3564000000000001056044i ] - */ - ccolumnproda(in, 3, 4, columnProductedIn_3_4); - for (i = 0 ; i < 3 ; ++i) { - printf("columnProductedIn_3_4[%d] = %e + %ei\n", i, creals(columnProductedIn_3_4[i]), cimags(columnProductedIn_3_4[i])); - } - assert(fabs(creals(columnProductedIn_3_4[0]) + 0.5753000000000000335731f) < 1e-06); - assert(fabs(cimags(columnProductedIn_3_4[0]) + 0.3564000000000000500933f) < 1e-06); - assert(fabs(creals(columnProductedIn_3_4[1]) + 0.6564999999999998614442f) < 1e-06); - assert(fabs(cimags(columnProductedIn_3_4[1]) - 0.0000000000000000693889f) < 1e-06); - assert(fabs(creals(columnProductedIn_3_4[2]) + 0.5753000000000001445955f) < 1e-06); - assert(fabs(cimags(columnProductedIn_3_4[2]) - 0.3564000000000001056044f) < 1e-06); - - /* - [ 1.1i 0.6+0.5i ] [ - 0.5500000000000000444089 + 0.6600000000000000310862i ] - [ 0.1+i 0.7+0.4i ] [ - 0.3300000000000000155431 + 0.7399999999999999911182i ] - [ 0.2+0.9i 0.8+0.3i ] => [ - 0.1099999999999999866773 + 0.7800000000000000266454i ] - [ 0.3+0.8i 0.9+0.2i ] [ 0.1099999999999999866773 + 0.7800000000000000266454i ] - [ 0.4+0.7i 1+0.1i ] [ 0.3300000000000000155431 + 0.7399999999999999911182i ] - [ 0.5+0.6i 1.1 ] [ 0.5500000000000000444089 + 0.6600000000000000310862i ] - */ - ccolumnproda(in, 6, 2, columnProductedIn_6_2); - for (i = 0 ; i < 6 ; ++i) { - printf("columnProductedIn_6_2[%d] = %e + %ei\n", i, creals(columnProductedIn_6_2[i]), cimags(columnProductedIn_6_2[i])); - } - assert(fabs(creals(columnProductedIn_6_2[0]) + 0.5500000000000000444089f) < 1e-06); - assert(fabs(cimags(columnProductedIn_6_2[0]) - 0.6600000000000000310862f) < 1e-06); - assert(fabs(creals(columnProductedIn_6_2[1]) + 0.3300000000000000155431f) < 1e-06); - assert(fabs(cimags(columnProductedIn_6_2[1]) - 0.7399999999999999911182f) < 1e-06); - assert(fabs(creals(columnProductedIn_6_2[2]) + 0.1099999999999999866773f) < 1e-06); - assert(fabs(cimags(columnProductedIn_6_2[2]) - 0.7800000000000000266454f) < 1e-06); - assert(fabs(creals(columnProductedIn_6_2[3]) - 0.1099999999999999866773f) < 1e-06); - assert(fabs(cimags(columnProductedIn_6_2[3]) - 0.7800000000000000266454f) < 1e-06); - assert(fabs(creals(columnProductedIn_6_2[4]) - 0.3300000000000000155431f) < 1e-06); - assert(fabs(cimags(columnProductedIn_6_2[4]) - 0.7399999999999999911182f) < 1e-06); - assert(fabs(creals(columnProductedIn_6_2[5]) - 0.5500000000000000444089f) < 1e-06); - assert(fabs(cimags(columnProductedIn_6_2[5]) - 0.6600000000000000310862f) < 1e-06); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] [ 0.2212649999999999894662 - 0.5017100000000001003286i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ - 0.2212649999999999894662 - 0.5017100000000001003286i ] - */ - ccolumnproda(in, 2, 6, columnProductedIn_2_6); - for (i = 0 ; i < 2 ; ++i) { - printf("columnProductedIn_2_6[%d] = %e + %ei\n", i, creals(columnProductedIn_2_6[i]), cimags(columnProductedIn_2_6[i])); - } - assert(fabs(creals(columnProductedIn_2_6[0]) - 0.2212649999999999894662f) < 1e-06); - assert(fabs(cimags(columnProductedIn_2_6[0]) + 0.5017100000000001003286f) < 1e-06); - assert(fabs(creals(columnProductedIn_2_6[1]) + 0.2212649999999999894662f) < 1e-06); - assert(fabs(cimags(columnProductedIn_2_6[1]) + 0.5017100000000001003286f) < 1e-06); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ - 0.3006711243250001497351 + 0.0000000000000000038164i ] - - */ - ccolumnproda(in, 1, 12, columnProductedIn_1_12); - printf("columnProductedIn_1_12[%d] = %e + %ei\n", 0, creals(columnProductedIn_1_12[0]), cimags(columnProductedIn_1_12[0])); - assert(fabs(creals(columnProductedIn_1_12[0]) + 0.3006711243250001497351f) < 1e-06); - assert(fabs(cimags(columnProductedIn_1_12[0]) - 0.0000000000000000038164f) < 1e-06); - - - /* - [ 1.1i ] => [ 1.1i ] - [ 0.1+i ] => [ 0.1+i ] - [ 0.2+0.9i ] => [ 0.2+0.9i ] - [ 0.3+0.8i ] => [ 0.3+0.8i ] - [ 0.4+0.7i ] => [ 0.4+0.7i ] - [ 0.5+0.6i ] => [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 0.6+0.5i ] - [ 0.7+0.4i ] => [ 0.7+0.4i ] - [ 0.8+0.3i ] => [ 0.8+0.3i ] - [ 0.9+0.2i ] => [ 0.9+0.2i ] - [ 1+0.1i ] => [ 1+0.1i ] - [ 1.1 ] => [ 1.1 ] - */ - ccolumnproda(in, 12, 1, columnProductedIn_12_1); - for (i = 0 ; i < 12 ; ++i) { - printf("columnProductedIn_12_1[%d] = %e + %ei\n", i, creals(columnProductedIn_12_1[i]), cimags(columnProductedIn_12_1[i])); - assert(creals(columnProductedIn_12_1[i]) == creals(in[i]) && cimags(columnProductedIn_12_1[i]) == cimags(in[i])); - } - - return 0; 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diff --git a/src/statisticsFunctions/prod/zcolumnproda.c b/src/statisticsFunctions/prod/zcolumnproda.c deleted file mode 100644 index 277afd5a..00000000 --- a/src/statisticsFunctions/prod/zcolumnproda.c +++ /dev/null @@ -1,36 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" -#include "multiplication.h" - -void zcolumnproda(doubleComplex *in, int lines, int columns, doubleComplex * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] = zmuls(out[i % lines] , in[i]); - } -} diff --git a/src/statisticsFunctions/prod/zproda.c b/src/statisticsFunctions/prod/zproda.c deleted file mode 100644 index a017d979..00000000 --- a/src/statisticsFunctions/prod/zproda.c +++ /dev/null @@ -1,30 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "prod.h" -#include "multiplication.h" - - -doubleComplex zproda(doubleComplex *in, int size) { - doubleComplex accumulate = in[0]; - int i = 0; - - - for (i = 1; i < size; ++i) - { - accumulate = zmuls(accumulate,in[i]); - } - return accumulate; - -} - - diff --git a/src/statisticsFunctions/prod/zrowproda.c b/src/statisticsFunctions/prod/zrowproda.c deleted file mode 100644 index 84a16903..00000000 --- a/src/statisticsFunctions/prod/zrowproda.c +++ /dev/null @@ -1,37 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Arnaud TORSET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -/* This is a copy/paste with adaptation from sum */ - -#include "prod.h" -#include "multiplication.h" - -void zrowproda(doubleComplex *in, int lines, int columns, doubleComplex * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] = zmuls( out[(i - 1) % columns] , - in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]); - } -} diff --git a/src/statisticsFunctions/statisticsFunctions.vcproj b/src/statisticsFunctions/statisticsFunctions.vcproj deleted file mode 100644 index a66e1113..00000000 --- a/src/statisticsFunctions/statisticsFunctions.vcproj +++ /dev/null @@ -1,1471 +0,0 @@ -<?xml version="1.0" encoding="Windows-1252"?>
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The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void ccolumnsuma(floatComplex *in, int lines, int columns, floatComplex * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] = cadds(out[i % lines] , in[i]); - } -} diff --git a/src/statisticsFunctions/sum/crowsuma.c b/src/statisticsFunctions/sum/crowsuma.c deleted file mode 100644 index aaf3c592..00000000 --- a/src/statisticsFunctions/sum/crowsuma.c +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void crowsuma(floatComplex *in, int lines, int columns, floatComplex * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] = cadds( out[(i - 1) % columns] , - in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]); - } -} diff --git a/src/statisticsFunctions/sum/csuma.c b/src/statisticsFunctions/sum/csuma.c deleted file mode 100644 index 68ebb291..00000000 --- a/src/statisticsFunctions/sum/csuma.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -floatComplex csuma(floatComplex *in, int size) { - floatComplex accumulate = FloatComplex(0.0f, 0.0f); - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate = cadds(accumulate, in[i]); - } - return accumulate; -} diff --git a/src/statisticsFunctions/sum/dcolumnsuma.c b/src/statisticsFunctions/sum/dcolumnsuma.c deleted file mode 100644 index 1f9b479d..00000000 --- a/src/statisticsFunctions/sum/dcolumnsuma.c +++ /dev/null @@ -1,33 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void dcolumnsuma(double *in, int lines, int columns, double * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] += in[i]; - } -} diff --git a/src/statisticsFunctions/sum/drowsuma.c b/src/statisticsFunctions/sum/drowsuma.c deleted file mode 100644 index f5e2ed34..00000000 --- a/src/statisticsFunctions/sum/drowsuma.c +++ /dev/null @@ -1,33 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void drowsuma(double *in, int lines, int columns, double *out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] += in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]; - } -} diff --git a/src/statisticsFunctions/sum/dsuma.c b/src/statisticsFunctions/sum/dsuma.c deleted file mode 100644 index eddceb6f..00000000 --- a/src/statisticsFunctions/sum/dsuma.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -double dsuma(double *in, int size) { - double accumulate = 0.0; - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate += in[i]; - } - return accumulate; - -} diff --git a/src/statisticsFunctions/sum/scolumnsuma.c b/src/statisticsFunctions/sum/scolumnsuma.c deleted file mode 100644 index 4d2415f2..00000000 --- a/src/statisticsFunctions/sum/scolumnsuma.c +++ /dev/null @@ -1,33 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void scolumnsuma(float *in, int lines, int columns, float * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] += in[i]; - } -} diff --git a/src/statisticsFunctions/sum/srowsuma.c b/src/statisticsFunctions/sum/srowsuma.c deleted file mode 100644 index 3f20661a..00000000 --- a/src/statisticsFunctions/sum/srowsuma.c +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void srowsuma(float *in, int lines, int columns, float * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] += in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]; - } -} - diff --git a/src/statisticsFunctions/sum/ssuma.c b/src/statisticsFunctions/sum/ssuma.c deleted file mode 100644 index aabc7fe0..00000000 --- a/src/statisticsFunctions/sum/ssuma.c +++ /dev/null @@ -1,25 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -float ssuma(float *in, int size) { - float accumulate = 0.0f; - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate += in[i]; - } - return accumulate; - -} diff --git a/src/statisticsFunctions/sum/testDoubleSum.c b/src/statisticsFunctions/sum/testDoubleSum.c deleted file mode 100644 index c5e2af2d..00000000 --- a/src/statisticsFunctions/sum/testDoubleSum.c +++ /dev/null @@ -1,493 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> -#include <math.h> -#include "sum.h" - -/* #define LOCAL_DEBUG */ - -#define ERROR(x) printf("diff = %e\n", x) - -static int dsumsTest(void) { - double value1 = 3.0; - double value2 = 1.123456789; - - printf("\n>>>> Sum Double Scalar Test\n"); - assert(dsums(value1) == 3.0); - assert(dsums(value2) == 1.123456789); - - return 0; -} - -static int dsumaTest(void) { - double table1[3] = {3.0, 3.0, 3.0}; - double table2[5] = {9.186784563, - 9.186784563, - 9.186784563, - 9.186784563, - 9.186784563}; - - printf("\n>>>> Sum Double Array Test\n"); - assert(dsuma(table1, 3) == 9.0); - assert((dsuma(table2, 5) - (9.186784 + 9.186784 + 9.186784 + 9.186784 + 9.186784)) / dsuma(table2, 5) < 3e-16); - return 0; -} - -static int dcolumnsumaTest(void) { - int i = 0; - double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0}; - double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}; - double columnSummedTable1_3_3[3] = {0}; - double columnSummedTable1_1_9[1] = {0}; - double columnSummedTable1_9_1[9] = {0}; - double columnSummedTable2_2_5[2] = {0}; - double columnSummedTable2_5_2[5] = {0}; - - printf("\n>>>> Column Sum Double Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 6 15 24 ] - [ 7 8 9 ] - */ - dcolumnsuma(table1, 3, 3,columnSummedTable1_3_3); - assert(columnSummedTable1_3_3[0] == 6.0); - assert(columnSummedTable1_3_3[1] == 15.0); - assert(columnSummedTable1_3_3[2] == 24.0); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - dcolumnsuma(table1, 1, 9,columnSummedTable1_1_9); - assert(columnSummedTable1_1_9[0] == 45.0); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - dcolumnsuma(table1, 9, 1,columnSummedTable1_9_1); - for ( i = 0 ; i < 9 ; ++i) { - printf("columnSummedTable1_9_1[%d] = %e\n", i, columnSummedTable1_9_1[i]); - assert(columnSummedTable1_9_1[i] == table1[i]); - } - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 25 30 ] - */ - dcolumnsuma(table2, 2, 5,columnSummedTable2_2_5); - assert(columnSummedTable2_2_5[0] == 25.0); - assert(columnSummedTable2_2_5[1] == 30.0); - for ( i = 0 ; i < 2 ; ++i) { - printf("columnSummedTable2_2_5[%d] = %e\n", i, columnSummedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 7 9 11 13 15 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - dcolumnsuma(table2, 5, 2,columnSummedTable2_5_2); - assert(columnSummedTable2_5_2[0] == 7.0); - assert(columnSummedTable2_5_2[1] == 9.0); - assert(columnSummedTable2_5_2[2] == 11.0); - assert(columnSummedTable2_5_2[3] == 13.0); - assert(columnSummedTable2_5_2[4] == 15.0); - for ( i = 0 ; i < 5 ; ++i) { - printf("columnSummedTable2_5_2[%d] = %e\n", i, columnSummedTable2_5_2[i]); - } - - return 0; -} - -static int drowsumaTest(void) { - int i = 0; - double table1[9] = {1.0, 4.0, 7.0, 2.0 , 5.0, 8.0, 3.0, 6.0, 9.0}; - double table2[10] = {1.0, 2.0, 3.0, 4.0 , 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}; - double rowSummedTable1_3_3[3] = {0}; - double rowSummedTable1_1_9[9] = {0}; - double rowSummedTable1_9_1[1] = {0}; - double rowSummedTable2_2_5[5] = {0}; - double rowSummedTable2_5_2[2] = {0}; - - printf("\n>>>> Row Sum Double Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 12 15 18 ] - [ 7 8 9 ] - */ - drowsuma(table1, 3, 3,rowSummedTable1_3_3); - for ( i = 0 ; i < 3 ; ++i) { - printf("rowSummedTable1_3_3[%d] = %e\n", i, rowSummedTable1_3_3[i]); - } - assert(rowSummedTable1_3_3[0] == 12.0); - assert(rowSummedTable1_3_3[1] == 15.0); - assert(rowSummedTable1_3_3[2] == 18.0); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - drowsuma(table1, 1, 9,rowSummedTable1_1_9); - for ( i = 0 ; i < 9 ; ++i) { - printf("rowSummedTable1_1_9[%d] = %e\n", i, rowSummedTable1_1_9[i]); - assert(rowSummedTable1_1_9[i] == table1[i]); - } - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - drowsuma(table1, 9, 1,rowSummedTable1_9_1); - assert(rowSummedTable1_9_1[0] == 45.0); - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ] - */ - drowsuma(table2, 2, 5,rowSummedTable2_2_5); - assert(rowSummedTable2_2_5[0] == 3.0); - assert(rowSummedTable2_2_5[1] == 7.0); - assert(rowSummedTable2_2_5[2] == 11.0); - assert(rowSummedTable2_2_5[3] == 15.0); - assert(rowSummedTable2_2_5[4] == 19.0); - for ( i = 0 ; i < 5 ; ++i) { - printf("rowSummedTable2_2_5[%d] = %e\n", i, rowSummedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 15 40 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - drowsuma(table2, 5, 2,rowSummedTable2_5_2); - assert(rowSummedTable2_5_2[0] == 15.0); - assert(rowSummedTable2_5_2[1] == 40.0); - for ( i = 0 ; i < 2 ; ++i) { - printf("rowSummedTable2_5_2[%d] = %e\n", i, rowSummedTable2_5_2[i]); - } - - return 0; -} - -static int zsumsTest(void) { - doubleComplex value1 = DoubleComplex(3.0, 3.0); - doubleComplex value2 = DoubleComplex(1.123456789, 1.123456789); - - printf("\n>>>> Sum Double Complex Scalar Test\n"); - assert(zreals(zsums(value1)) == 3.0); - assert(zimags(zsums(value1)) == 3.0); - assert(zreals(zsums(value2)) == 1.123456789); - assert(zimags(zsums(value2)) == 1.123456789); - return 0; -} - -static int zsumaTest(void) { - doubleComplex value1 = DoubleComplex(3.0, 3.0); - doubleComplex table1[3]; - doubleComplex value2 = DoubleComplex(9.186784563,9.186784563); - doubleComplex table2[5]; - - printf("\n>>>> Sum Double Complex Array Test\n"); - table1[0] = value1; - table1[1] = value1; - table1[2] = value1; - - table2[0] = value2; - table2[1] = value2; - table2[2] = value2; - table2[3] = value2; - table2[4] = value2; - -#ifdef LOCAL_DEBUG - printf("--------\n"); - printf("%e\n", zimags(zsuma(table1, 3))); - printf("%e\n", zreals(zsuma(table2, 5))); - printf("%e\n", zimags(zsuma(table2, 5))); - printf("%e\n", zreals(zsuma(table2, 5))); - printf("%e\n", zimags(zsuma(table2, 5))); - printf("--------\n"); -#endif - assert(zreals(zsuma(table1, 3)) == 9.0); - assert(zimags(zsuma(table1, 3)) == 9.0); - assert(zreals(zsuma(table2, 5)) == 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563); - assert(zimags(zsuma(table2, 5)) == 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563 + 9.186784563); - - return 0; -} - -static int zrowsumaTest(void) { - int i = 0; - doubleComplex in[12]; - doubleComplex rowSummedIn_4_3[3]; - doubleComplex rowSummedIn_3_4[4]; - doubleComplex rowSummedIn_6_2[2]; - doubleComplex rowSummedIn_2_6[6]; - doubleComplex rowSummedIn_1_12[12]; - doubleComplex rowSummedIn_12_1[1]; - - printf("\n>>>> Row Sum Double Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - zrowsuma(in, 4, 3, rowSummedIn_4_3); - for (i = 0 ; i < 3 ; ++i) { - printf("rowSummedIn_4_3[%d] = %e + %ei\n", i, zreals(rowSummedIn_4_3[i]), zimags(rowSummedIn_4_3[i])); - } - assert(fabs(zreals(rowSummedIn_4_3[0]) -0.6) < 2e-16); - assert(zimags(rowSummedIn_4_3[0]) == 3.8); - assert(zreals(rowSummedIn_4_3[1]) == 2.2); - assert(fabs(zimags(rowSummedIn_4_3[1]) - 2.2) < 1e-15); - assert(fabs(zreals(rowSummedIn_4_3[2]) - 3.8) < 1e-15); - assert(zimags(rowSummedIn_4_3[2]) == 0.6); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - zrowsuma(in, 3, 4, rowSummedIn_3_4); - for (i = 0 ; i < 4 ; ++i) { - printf("rowSummedIn_3_4[%d] = %e + %ei\n", i, zreals(rowSummedIn_3_4[i]), zimags(rowSummedIn_3_4[i])); - } - assert(fabs(zreals(rowSummedIn_3_4[0]) - 0.3) < 1e-16); - assert(zimags(rowSummedIn_3_4[0]) == 3.0); - assert(zreals(rowSummedIn_3_4[1]) == 1.2 && zimags(rowSummedIn_3_4[1]) == 2.1); - assert(fabs(zreals(rowSummedIn_3_4[2]) - 2.1) < 1e-15); - assert(zimags(rowSummedIn_3_4[2]) == 1.2); - assert(zreals(rowSummedIn_3_4[3]) == 3.0); - assert(fabs(zimags(rowSummedIn_3_4[3]) - 0.3) < 1e-16); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - zrowsuma(in, 6, 2, rowSummedIn_6_2); - for (i = 0 ; i < 2 ; ++i) { - printf("rowSummedIn_6_2[%d] = %e + %ei\n", i, zreals(rowSummedIn_6_2[i]), zimags(rowSummedIn_6_2[i])); - } - assert(zreals(rowSummedIn_6_2[0]) == 1.5 && zimags(rowSummedIn_6_2[0]) == 5.1); - assert(zreals(rowSummedIn_6_2[1]) == 5.1 && zimags(rowSummedIn_6_2[1]) == 1.5); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ] - */ - zrowsuma(in, 2, 6, rowSummedIn_2_6); - for (i = 0 ; i < 6 ; ++i) { - printf("rowSummedIn_2_6[%d] = %e + %ei\n", i, zreals(rowSummedIn_2_6[i]), zimags(rowSummedIn_2_6[i])); - } - assert(zreals(rowSummedIn_2_6[0]) == 0.1 && zimags(rowSummedIn_2_6[0]) == 2.1); - assert(zreals(rowSummedIn_2_6[1]) == 0.5); - assert(fabs(double(zimags(rowSummedIn_2_6[1]) == 1.7)) < 1e-16); - assert(zreals(rowSummedIn_2_6[2]) == 0.9); - assert(fabs(double(zimags(rowSummedIn_2_6[2]) == 1.3)) < 1e-16); - assert(fabs(double(zreals(rowSummedIn_2_6[3]) == 1.3)) < 1e-16); - assert(zimags(rowSummedIn_2_6[3]) == 0.9); - assert(fabs(double(zreals(rowSummedIn_2_6[4]) == 1.7)) < 1e-16); - assert(zimags(rowSummedIn_2_6[4]) == 0.5); - assert(zreals(rowSummedIn_2_6[5]) == 2.1 && zimags(rowSummedIn_2_6[5]) == 0.1); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - */ - zrowsuma(in, 1, 12, rowSummedIn_1_12); - for (i = 0 ; i < 12 ; ++i) { - printf("rowSummedIn_1_12[%d] = %e + %ei\n", i, zreals(rowSummedIn_1_12[i]), zimags(rowSummedIn_1_12[i])); - assert(zreals(rowSummedIn_1_12[i]) == zreals(in[i]) && zimags(rowSummedIn_1_12[i]) == zimags(in[i])); - } - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 6.6+6.6i ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - zrowsuma(in, 12, 1, rowSummedIn_12_1); - printf("rowSummedIn_12_1[%d] = %e + %ei\n", 0, zreals(rowSummedIn_12_1[0]), zimags(rowSummedIn_12_1[0])); - assert(zreals(rowSummedIn_12_1[0]) == 6.6 && zimags(rowSummedIn_12_1[0]) == 6.6); - - return 0; -} - -static int zcolumnsumaTest(void) { - int i = 0; - doubleComplex in[12]; - doubleComplex columnSummedIn_4_3[4]; - doubleComplex columnSummedIn_3_4[3]; - doubleComplex columnSummedIn_6_2[6]; - doubleComplex columnSummedIn_2_6[2]; - doubleComplex columnSummedIn_1_12[1]; - doubleComplex columnSummedIn_12_1[12]; - - printf("\n>>>> ColumnSum Double Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = DoubleComplex((double) i / 10.0, (11.0 - (double) i) / 10.0); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - zcolumnsuma(in, 4, 3, columnSummedIn_4_3); - for (i = 0 ; i < 4 ; ++i) { - printf("columnSummedIn_4_3[%d] = %e + %ei\n", i, zreals(columnSummedIn_4_3[i]), zimags(columnSummedIn_4_3[i])); - } - assert(fabs(zreals(columnSummedIn_4_3[0]) - 1.2) < 1e-15); - assert(zimags(columnSummedIn_4_3[0]) == 2.1); - assert(zreals(columnSummedIn_4_3[1]) == 1.5 && zimags(columnSummedIn_4_3[1]) == 1.8); - assert(zreals(columnSummedIn_4_3[2]) == 1.8 && zimags(columnSummedIn_4_3[2]) == 1.5); - assert(zreals(columnSummedIn_4_3[3]) == 2.1); - assert(fabs(zimags(columnSummedIn_4_3[3]) - 1.2) < 1e-15); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - zcolumnsuma(in, 3, 4, columnSummedIn_3_4); - for (i = 0 ; i < 3 ; ++i) { - printf("columnSummedIn_3_4[%d] = %e + %ei\n", i, zreals(columnSummedIn_3_4[i]), zimags(columnSummedIn_3_4[i])); - } - assert(fabs(zreals(columnSummedIn_3_4[0]) - 1.8) < 1e-15); - assert(fabs(zimags(columnSummedIn_3_4[0]) - 2.6) < 1e-15); - assert(zreals(columnSummedIn_3_4[1]) == 2.2 && zimags(columnSummedIn_3_4[1]) == 2.2); - assert(zreals(columnSummedIn_3_4[2]) == 2.6 && zimags(columnSummedIn_3_4[2]) == 1.8); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - zcolumnsuma(in, 6, 2, columnSummedIn_6_2); - for (i = 0 ; i < 6 ; ++i) { - printf("columnSummedIn_6_2[%d] = %e + %ei\n", i, zreals(columnSummedIn_6_2[i]), zimags(columnSummedIn_6_2[i])); - } - assert(zreals(columnSummedIn_6_2[0]) == 0.6 && zimags(columnSummedIn_6_2[0]) == 1.6); - assert(fabs(zreals(columnSummedIn_6_2[1]) - 0.8) < 1e-15); - assert(zimags(columnSummedIn_6_2[1]) == 1.4); - assert(zreals(columnSummedIn_6_2[2]) == 1.0 && zimags(columnSummedIn_6_2[2]) == 1.2); - assert(zreals(columnSummedIn_6_2[3]) == 1.2 && zimags(columnSummedIn_6_2[3]) == 1.0); - assert(zreals(columnSummedIn_6_2[4]) == 1.4); - assert(fabs(zimags(columnSummedIn_6_2[4]) - 0.8) < 1e-15); - assert(zreals(columnSummedIn_6_2[5]) == 1.6 && zimags(columnSummedIn_6_2[5]) == 0.6); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 3+3.6i 3.6+3i ] - */ - zcolumnsuma(in, 2, 6, columnSummedIn_2_6); - for (i = 0 ; i < 2 ; ++i) { - printf("columnSummedIn_2_6[%d] = %e + %ei\n", i, zreals(columnSummedIn_2_6[i]), zimags(columnSummedIn_2_6[i])); - } - assert(zreals(columnSummedIn_2_6[0]) == 3.0 && zimags(columnSummedIn_2_6[0]) == 3.6); - assert(zreals(columnSummedIn_2_6[1]) == 3.6 && zimags(columnSummedIn_2_6[1]) == 3.0); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 6.6+6.6i ] - */ - zcolumnsuma(in, 1, 12, columnSummedIn_1_12); - printf("columnSummedIn_1_12[%d] = %e + %ei\n", 0, zreals(columnSummedIn_1_12[0]), zimags(columnSummedIn_1_12[0])); - assert(zreals(columnSummedIn_1_12[0]) == 6.6 && zimags(columnSummedIn_1_12[0]) == 6.6); - - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - zcolumnsuma(in, 12, 1, columnSummedIn_12_1); - for (i = 0 ; i < 12 ; ++i) { - printf("columnSummedIn_12_1[%d] = %e + %ei\n", i, zreals(columnSummedIn_12_1[i]), zimags(columnSummedIn_12_1[i])); - assert(zreals(columnSummedIn_12_1[i]) == zreals(in[i]) && zimags(columnSummedIn_12_1[i]) == zimags(in[i])); - } - - return 0; -} - -static int testSum(void) { - - dsumsTest(); - dsumaTest(); - drowsumaTest(); - dcolumnsumaTest(); - zsumsTest(); - zsumaTest(); - zrowsumaTest(); - zcolumnsumaTest(); - - return 0; -} - -int main(void) { - assert(testSum() == 0); - return 0; -} diff --git a/src/statisticsFunctions/sum/testFloatSum.c b/src/statisticsFunctions/sum/testFloatSum.c deleted file mode 100644 index 090075c7..00000000 --- a/src/statisticsFunctions/sum/testFloatSum.c +++ /dev/null @@ -1,481 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> -#include <math.h> -#include "sum.h" - -/* #define LOCAL_DEBUG */ - -static int ssumsTest(void) { - float value1 = 3.0f; - float value2 = 1.123456789f; - - printf("\n>>>> Sum Float Scalar Test\n"); - assert(ssums(value1) == 3.0f); - assert(ssums(value2) == 1.123456789f); - - return 0; -} - -static int ssumaTest(void) { - float table1[3] = {3.0f, 3.0f, 3.0f}; - float table2[5] = {9.186784563f, - 9.186784563f, - 9.186784563f, - 9.186784563f, - 9.186784563f}; - - printf("\n>>>> Sum Float Array Test\n"); - assert(ssuma(table1, 3) == 9.0f); - assert((ssuma(table2, 5) - (9.186784f + 9.186784f + 9.186784f + 9.186784f + 9.186784f)) / ssuma(table2, 5) < 1e-6); - return 0; -} - -static int scolumnsumaTest(void) { - int i = 0; - float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; - float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}; - float columnSummedTable1_3_3[3] = {0}; - float columnSummedTable1_1_9[1] = {0}; - float columnSummedTable1_9_1[9] = {0}; - float columnSummedTable2_2_5[2] = {0}; - float columnSummedTable2_5_2[5] = {0}; - - printf("\n>>>> Column Sum Float Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 6 15 24 ] - [ 7 8 9 ] - */ - scolumnsuma(table1, 3, 3,columnSummedTable1_3_3); - assert(columnSummedTable1_3_3[0] == 6.0f); - assert(columnSummedTable1_3_3[1] == 15.0f); - assert(columnSummedTable1_3_3[2] == 24.0f); - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - scolumnsuma(table1, 1, 9,columnSummedTable1_1_9); - assert(columnSummedTable1_1_9[0] == 45.0f); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - scolumnsuma(table1, 9, 1,columnSummedTable1_9_1); - for ( i = 0 ; i < 9 ; ++i) { - printf("columnSummedTable1_9_1[%d] = %e\n", i, columnSummedTable1_9_1[i]); - assert(columnSummedTable1_9_1[i] == table1[i]); - } - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 25 30 ] - */ - scolumnsuma(table2, 2, 5,columnSummedTable2_2_5); - assert(columnSummedTable2_2_5[0] == 25.0f); - assert(columnSummedTable2_2_5[1] == 30.0f); - for ( i = 0 ; i < 2 ; ++i) { - printf("columnSummedTable2_2_5[%d] = %e\n", i, columnSummedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 7 9 11 13 15 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - scolumnsuma(table2, 5, 2,columnSummedTable2_5_2); - assert(columnSummedTable2_5_2[0] == 7.0f); - assert(columnSummedTable2_5_2[1] == 9.0f); - assert(columnSummedTable2_5_2[2] == 11.0f); - assert(columnSummedTable2_5_2[3] == 13.0f); - assert(columnSummedTable2_5_2[4] == 15.0f); - for ( i = 0 ; i < 5 ; ++i) { - printf("columnSummedTable2_5_2[%d] = %e\n", i, columnSummedTable2_5_2[i]); - } - - return 0; -} - -static int srowsumaTest(void) { - int i = 0; - float table1[9] = {1.0f, 4.0f, 7.0f, 2.0f , 5.0f, 8.0f, 3.0f, 6.0f, 9.0f}; - float table2[10] = {1.0f, 2.0f, 3.0f, 4.0f , 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f}; - float rowSummedTable1_3_3[3] = {0}; - float rowSummedTable1_1_9[9] = {0}; - float rowSummedTable1_9_1[1] = {0}; - float rowSummedTable2_2_5[5] = {0}; - float rowSummedTable2_5_2[2] = {0}; - - printf("\n>>>> Row Sum Float Array Test\n"); - /* - [ 1 2 3 ] - [ 4 5 6 ] => [ 12 15 18 ] - [ 7 8 9 ] - */ - srowsuma(table1, 3, 3,rowSummedTable1_3_3); - for ( i = 0 ; i < 3 ; ++i) { - printf("rowSummedTable1_3_3[%d] = %e\n", i, rowSummedTable1_3_3[i]); - } - assert(rowSummedTable1_3_3[0] == 12.0f); - assert(rowSummedTable1_3_3[1] == 15.0f); - assert(rowSummedTable1_3_3[2] == 18.0f); - - /* - [ 1 ] - [ 2 ] - [ 3 ] - [ 4 ] - [ 5 ] => [ 1 2 3 4 5 6 7 8 9 ] - [ 6 ] - [ 7 ] - [ 8 ] - [ 9 ] - */ - srowsuma(table1, 1, 9,rowSummedTable1_1_9); - for ( i = 0 ; i < 9 ; ++i) { - printf("rowSummedTable1_1_9[%d] = %e\n", i, rowSummedTable1_1_9[i]); - assert(rowSummedTable1_1_9[i] == table1[i]); - } - - /* - [ 1 2 3 4 5 6 7 8 9 ] => [ 45 ] - */ - srowsuma(table1, 9, 1,rowSummedTable1_9_1); - assert(rowSummedTable1_9_1[0] == 45.0f); - - /* - [ 1 3 5 7 9 ] - [ 2 4 6 8 10 ] => [ 3 7 11 15 19 ] - */ - srowsuma(table2, 2, 5,rowSummedTable2_2_5); - assert(rowSummedTable2_2_5[0] == 3.0f); - assert(rowSummedTable2_2_5[1] == 7.0f); - assert(rowSummedTable2_2_5[2] == 11.0f); - assert(rowSummedTable2_2_5[3] == 15.0f); - assert(rowSummedTable2_2_5[4] == 19.0f); - for ( i = 0 ; i < 5 ; ++i) { - printf("rowSummedTable2_2_5[%d] = %e\n", i, rowSummedTable2_2_5[i]); - } - - /* - [ 1 6 ] - [ 2 7 ] => [ 15 40 ] - [ 3 8 ] - [ 4 9 ] - [ 5 10 ] - */ - srowsuma(table2, 5, 2,rowSummedTable2_5_2); - assert(rowSummedTable2_5_2[0] == 15.0f); - assert(rowSummedTable2_5_2[1] == 40.0f); - for ( i = 0 ; i < 2 ; ++i) { - printf("rowSummedTable2_5_2[%d] = %e\n", i, rowSummedTable2_5_2[i]); - } - - return 0; -} - -static int csumsTest(void) { - floatComplex value1 = FloatComplex(3.0f, 3.0f); - floatComplex value2 = FloatComplex(1.123456789f, 1.123456789f); - - printf("\n>>>> Sum Float Complex Scalar Test\n"); - assert(creals(csums(value1)) == 3.0f); - assert(cimags(csums(value1)) == 3.0f); - assert(creals(csums(value2)) == 1.123456789f); - assert(cimags(csums(value2)) == 1.123456789f); - return 0; -} - -static int csumaTest(void) { - floatComplex value1 = FloatComplex(3.0f, 3.0f); - floatComplex table1[3]; - floatComplex value2 = FloatComplex(9.186784563f,9.186784563f); - floatComplex table2[5]; - - printf("\n>>>> Sum Float Complex Array Test\n"); - table1[0] = value1; - table1[1] = value1; - table1[2] = value1; - - table2[0] = value2; - table2[1] = value2; - table2[2] = value2; - table2[3] = value2; - table2[4] = value2; - -#ifdef LOCAL_DEBUG - printf("--------\n"); - printf("%e\n", cimags(csuma(table1, 3))); - printf("%e\n", creals(csuma(table2, 5))); - printf("%e\n", cimags(csuma(table2, 5))); - printf("%e\n", creals(csuma(table2, 5))); - printf("%e\n", cimags(csuma(table2, 5))); - printf("--------\n"); -#endif - assert(creals(csuma(table1, 3)) == 9.0f); - assert(cimags(csuma(table1, 3)) == 9.0f); - assert(creals(csuma(table2, 5)) == 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f); - assert(cimags(csuma(table2, 5)) == 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f + 9.186784563f); - - return 0; -} - -static int crowsumaTest(void) { - int i = 0; - floatComplex in[12]; - floatComplex rowSummedIn_4_3[3]; - floatComplex rowSummedIn_3_4[4]; - floatComplex rowSummedIn_6_2[2]; - floatComplex rowSummedIn_2_6[6]; - floatComplex rowSummedIn_1_12[12]; - floatComplex rowSummedIn_12_1[1]; - - printf("\n>>>> Row Sum Float Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 0.6+3.8i 2.2+2.2i 3.8+0.6i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - crowsuma(in, 4, 3, rowSummedIn_4_3); - for (i = 0 ; i < 3 ; ++i) { - printf("rowSummedIn_4_3[%d] = %e + %ei\n", i, creals(rowSummedIn_4_3[i]), cimags(rowSummedIn_4_3[i])); - } - assert(creals(rowSummedIn_4_3[0]) == 0.6f && cimags(rowSummedIn_4_3[0]) == 3.8f); - assert(creals(rowSummedIn_4_3[1]) == 2.2f && cimags(rowSummedIn_4_3[1]) == 2.2f); - assert(fabs(creals(rowSummedIn_4_3[2]) - 3.8f) < 1e-06); - assert(cimags(rowSummedIn_4_3[2]) == 0.6f); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 0.3+3.i 1.2+2.1i 2.1+1.2i 3.+0.3i] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - crowsuma(in, 3, 4, rowSummedIn_3_4); - for (i = 0 ; i < 4 ; ++i) { - printf("rowSummedIn_3_4[%d] = %e + %ei\n", i, creals(rowSummedIn_3_4[i]), cimags(rowSummedIn_3_4[i])); - } - assert(creals(rowSummedIn_3_4[0]) == 0.3f && cimags(rowSummedIn_3_4[0]) == 3.0f); - assert(creals(rowSummedIn_3_4[1]) == 1.2f && cimags(rowSummedIn_3_4[1]) == 2.1f); - assert(creals(rowSummedIn_3_4[2]) == 2.1f && cimags(rowSummedIn_3_4[2]) == 1.2f); - assert(creals(rowSummedIn_3_4[3]) == 3.0f && cimags(rowSummedIn_3_4[3]) == 0.3f); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 1.5+5.1i 5.1+1.5i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - crowsuma(in, 6, 2, rowSummedIn_6_2); - for (i = 0 ; i < 2 ; ++i) { - printf("rowSummedIn_6_2[%d] = %e + %ei\n", i, creals(rowSummedIn_6_2[i]), cimags(rowSummedIn_6_2[i])); - } - assert(creals(rowSummedIn_6_2[0]) == 1.5f && cimags(rowSummedIn_6_2[0]) == 5.1f); - assert(creals(rowSummedIn_6_2[1]) == 5.1f); - assert(fabs(cimags(rowSummedIn_6_2[1]) - 1.5f) < 1e-06); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 0.1+2.1i 0.5+1.7i 0.9+1.3i 1.3+0.9i 1.7+0.5i 2.1+0.1i ] - */ - crowsuma(in, 2, 6, rowSummedIn_2_6); - for (i = 0 ; i < 6 ; ++i) { - printf("rowSummedIn_2_6[%d] = %e + %ei\n", i, creals(rowSummedIn_2_6[i]), cimags(rowSummedIn_2_6[i])); - } - assert(creals(rowSummedIn_2_6[0]) == 0.1f && cimags(rowSummedIn_2_6[0]) == 2.1f); - assert(creals(rowSummedIn_2_6[1]) == 0.5f && cimags(rowSummedIn_2_6[1]) == 1.7f); - assert(creals(rowSummedIn_2_6[2]) == 0.9f && cimags(rowSummedIn_2_6[2]) == 1.3f); - assert(creals(rowSummedIn_2_6[3]) == 1.3f && cimags(rowSummedIn_2_6[3]) == 0.9f); - assert(creals(rowSummedIn_2_6[4]) == 1.7f && cimags(rowSummedIn_2_6[4]) == 0.5f); - assert(creals(rowSummedIn_2_6[5]) == 2.1f && cimags(rowSummedIn_2_6[5]) == 0.1f); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - */ - crowsuma(in, 1, 12, rowSummedIn_1_12); - for (i = 0 ; i < 12 ; ++i) { - printf("rowSummedIn_1_12[%d] = %e + %ei\n", i, creals(rowSummedIn_1_12[i]), cimags(rowSummedIn_1_12[i])); - assert(creals(rowSummedIn_1_12[i]) == creals(in[i]) && cimags(rowSummedIn_1_12[i]) == cimags(in[i])); - } - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 6.6+6.6i ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - crowsuma(in, 12, 1, rowSummedIn_12_1); - printf("rowSummedIn_12_1[%d] = %e + %ei\n", 0, creals(rowSummedIn_12_1[0]), cimags(rowSummedIn_12_1[0])); - assert(creals(rowSummedIn_12_1[0]) == 6.6f && cimags(rowSummedIn_12_1[0]) == 6.6f); - - return 0; -} - -static int ccolumnsumaTest(void) { - int i = 0; - floatComplex in[12]; - floatComplex columnSummedIn_4_3[4]; - floatComplex columnSummedIn_3_4[3]; - floatComplex columnSummedIn_6_2[6]; - floatComplex columnSummedIn_2_6[2]; - floatComplex columnSummedIn_1_12[1]; - floatComplex columnSummedIn_12_1[12]; - - printf("\n>>>> ColumnSum Float Complex Array Test\n"); - /* Init input var */ - for (i = 0 ; i < 12 ; ++i) - { - in[i] = FloatComplex((float) i / 10.0f, (11.0f - (float) i) / 10.0f); - } - - /* - [ 1.1i 0.4+0.7i 0.8+0.3i ] - [ 0.1+i 0.5+0.6i 0.9+0.2i ] => [ 1.2+2.1i 1.5+1.8i 1.8+1.5i 2.1+1.2i ] - [ 0.2+0.9i 0.6+0.5i 1+0.1i ] - [ 0.3+0.8i 0.7+0.4i 1.1 ] - */ - ccolumnsuma(in, 4, 3, columnSummedIn_4_3); - for (i = 0 ; i < 4 ; ++i) { - printf("columnSummedIn_4_3[%d] = %e + %ei\n", i, creals(columnSummedIn_4_3[i]), cimags(columnSummedIn_4_3[i])); - } - assert(creals(columnSummedIn_4_3[0]) == 1.2f && cimags(columnSummedIn_4_3[0]) == 2.1f); - assert(creals(columnSummedIn_4_3[1]) == 1.5f); - assert(fabs(cimags(columnSummedIn_4_3[1]) - 1.8f) < 1e-06); - assert(creals(columnSummedIn_4_3[2]) == 1.8f && cimags(columnSummedIn_4_3[2]) == 1.5f); - assert(creals(columnSummedIn_4_3[3]) == 2.1f && cimags(columnSummedIn_4_3[3]) == 1.2f); - - /* - [ 1.1i 0.3+0.8i 0.6+0.5i 0.9+0.2i ] - [ 0.1+i 0.4+0.7i 0.7+0.4i 1+0.1i ] => [ 1.8+2.6i 2.2+2.2i 2.6+1.8i ] - [ 0.2+0.9i 0.5+0.6i 0.8+0.3i 1.1 ] - */ - ccolumnsuma(in, 3, 4, columnSummedIn_3_4); - for (i = 0 ; i < 3 ; ++i) { - printf("columnSummedIn_3_4[%d] = %e + %ei\n", i, creals(columnSummedIn_3_4[i]), cimags(columnSummedIn_3_4[i])); - } - assert(creals(columnSummedIn_3_4[0]) == 1.8f); - assert(fabs(cimags(columnSummedIn_3_4[0]) - 2.6f) < 1e-06); - assert(creals(columnSummedIn_3_4[1]) == 2.2f && cimags(columnSummedIn_3_4[1]) == 2.2f); - assert(creals(columnSummedIn_3_4[2]) == 2.6f && cimags(columnSummedIn_3_4[2]) == 1.8f); - - /* - [ 1.1i 0.6+0.5i ] - [ 0.1+i 0.7+0.4i ] - [ 0.2+0.9i 0.8+0.3i ] => [ 0.6+1.6i 0.8+1.4i 1+1.2i 1.2+i 1.4+0.8i 1.6+0.6i ] - [ 0.3+0.8i 0.9+0.2i ] - [ 0.4+0.7i 1+0.1i ] - [ 0.5+0.6i 1.1 ] - */ - ccolumnsuma(in, 6, 2, columnSummedIn_6_2); - for (i = 0 ; i < 6 ; ++i) { - printf("columnSummedIn_6_2[%d] = %e + %ei\n", i, creals(columnSummedIn_6_2[i]), cimags(columnSummedIn_6_2[i])); - } - assert(creals(columnSummedIn_6_2[0]) == 0.6f && cimags(columnSummedIn_6_2[0]) == 1.6f); - assert(creals(columnSummedIn_6_2[1]) == 0.8f && cimags(columnSummedIn_6_2[1]) == 1.4f); - assert(creals(columnSummedIn_6_2[2]) == 1.0f && cimags(columnSummedIn_6_2[2]) == 1.2f); - assert(creals(columnSummedIn_6_2[3]) == 1.2f && cimags(columnSummedIn_6_2[3]) == 1.0f); - assert(creals(columnSummedIn_6_2[4]) == 1.4f && cimags(columnSummedIn_6_2[4]) == 0.8f); - assert(creals(columnSummedIn_6_2[5]) == 1.6f && cimags(columnSummedIn_6_2[5]) == 0.6f); - - /* - [ 1.1i 0.2+0.9i 0.4+0.7i 0.6+0.5i 0.8+0.3i 1+0.1i ] - [ 0.1+i 0.3+0.8i 0.5+0.6i 0.7+0.4i 0.9+0.2i 1.1 ] => [ 3+3.6i 3.6+3i ] - */ - ccolumnsuma(in, 2, 6, columnSummedIn_2_6); - for (i = 0 ; i < 2 ; ++i) { - printf("columnSummedIn_2_6[%d] = %e + %ei\n", i, creals(columnSummedIn_2_6[i]), cimags(columnSummedIn_2_6[i])); - } - assert(creals(columnSummedIn_2_6[0]) == 3.0f && cimags(columnSummedIn_2_6[0]) == 3.6f); - assert(creals(columnSummedIn_2_6[1]) == 3.6f); - assert(fabs(cimags(columnSummedIn_2_6[1]) -3.0f) < 1e-06); - - /* - [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - => - [ 6.6+6.6i ] - */ - ccolumnsuma(in, 1, 12, columnSummedIn_1_12); - printf("columnSummedIn_1_12[%d] = %e + %ei\n", 0, creals(columnSummedIn_1_12[0]), cimags(columnSummedIn_1_12[0])); - assert(creals(columnSummedIn_1_12[0]) == 6.6f && cimags(columnSummedIn_1_12[0]) == 6.6f); - - - /* - [ 1.1i ] - [ 0.1+i ] - [ 0.2+0.9i ] - [ 0.3+0.8i ] - [ 0.4+0.7i ] - [ 0.5+0.6i ] - [ 0.6+0.5i ] => [ 1.1i 0.1+i 0.2+0.9i 0.3+0.8i 0.4+0.7i 0.5+0.6i 0.6+0.5i 0.7+0.4i 0.8+0.3i 0.9+0.2i 1+0.1i 1.1 ] - [ 0.7+0.4i ] - [ 0.8+0.3i ] - [ 0.9+0.2i ] - [ 1+0.1i ] - [ 1.1 ] - */ - ccolumnsuma(in, 12, 1, columnSummedIn_12_1); - for (i = 0 ; i < 12 ; ++i) { - printf("columnSummedIn_12_1[%d] = %e + %ei\n", i, creals(columnSummedIn_12_1[i]), cimags(columnSummedIn_12_1[i])); - assert(creals(columnSummedIn_12_1[i]) == creals(in[i]) && cimags(columnSummedIn_12_1[i]) == cimags(in[i])); - } - - return 0; -} - -static int testSum(void) { - - ssumsTest(); - ssumaTest(); - srowsumaTest(); - scolumnsumaTest(); - csumsTest(); - csumaTest(); - crowsumaTest(); - ccolumnsumaTest(); - - return 0; -} - -int main(void) { - assert(testSum() == 0); - return 0; -} diff --git a/src/statisticsFunctions/sum/test_DoubleSum/testDoubleSum.vcproj b/src/statisticsFunctions/sum/test_DoubleSum/testDoubleSum.vcproj deleted file mode 100644 index f2197425..00000000 --- a/src/statisticsFunctions/sum/test_DoubleSum/testDoubleSum.vcproj +++ /dev/null @@ -1,213 +0,0 @@ -<?xml version="1.0" encoding="Windows-1252"?>
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diff --git a/src/statisticsFunctions/sum/zcolumnsuma.c b/src/statisticsFunctions/sum/zcolumnsuma.c deleted file mode 100644 index 93e97536..00000000 --- a/src/statisticsFunctions/sum/zcolumnsuma.c +++ /dev/null @@ -1,33 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void zcolumnsuma(doubleComplex *in, int lines, int columns, doubleComplex * out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < lines; ++i) - { - out[i] = in[i]; - } - /* - ** Then accumulate in each row. - */ - for (i = lines ; i < lines * columns ; ++i) - { - out[i % lines] = zadds(out[i % lines] , in[i]); - } -} diff --git a/src/statisticsFunctions/sum/zrowsuma.c b/src/statisticsFunctions/sum/zrowsuma.c deleted file mode 100644 index abb62b57..00000000 --- a/src/statisticsFunctions/sum/zrowsuma.c +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -void zrowsuma(doubleComplex *in, int lines, int columns, doubleComplex* out) { - int i = 0; - - /* - ** First assign first row, just in case - ** out contains non-zero's elements. - */ - for (i = 0 ; i < columns; ++i) - { - out[i] = in[i * lines]; - } - /* - ** Then accumulate in each column. - */ - for (i = 1 ; i <= (lines - 1) * columns ; ++i) - { - out[(i - 1) % columns] = zadds(out[(i - 1) % columns] , - in[((i - 1) % columns) * lines + 1 + (i - 1) / columns]); - } -} diff --git a/src/statisticsFunctions/sum/zsuma.c b/src/statisticsFunctions/sum/zsuma.c deleted file mode 100644 index e566c95a..00000000 --- a/src/statisticsFunctions/sum/zsuma.c +++ /dev/null @@ -1,24 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "sum.h" - -doubleComplex zsuma(doubleComplex *in, int size) { - doubleComplex accumulate = DoubleComplex(0.0f, 0.0f); - int i = 0; - - for (i = 0; i < size; ++i) - { - accumulate = zadds(accumulate, in[i]); - } - return accumulate; -} diff --git a/src/statisticsFunctions/variance/Makefile.am b/src/statisticsFunctions/variance/Makefile.am deleted file mode 100644 index 4ca50fa3..00000000 --- a/src/statisticsFunctions/variance/Makefile.am +++ /dev/null @@ -1,89 +0,0 @@ -## -## Scilab ( http://www.scilab.org/ ) - This file is part of Scilab -## Copyright (C) 2008-2008 - INRIA - Allan SIMON -## -## This file must be used under the terms of the CeCILL. -## This source file is licensed as described in the file COPYING, which -## you should have received as part of this distribution. 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The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - -#include "variance.h" - -void ccolumnvariancea(floatComplex *in, int lines, int columns, floatComplex* out){ - - int i = 0 ; - - floatComplex* transp = (floatComplex*) malloc ( sizeof (double) *(unsigned int) (lines*columns)); - - - - ctransposea ( in , lines , columns , transp ) ; - - - for ( i = 0; i < lines ; i++) - out[i] = cvariancea ( transp + i*columns , columns ) ; - - - free (transp); - - -} diff --git a/src/statisticsFunctions/variance/crowvariancea.c b/src/statisticsFunctions/variance/crowvariancea.c deleted file mode 100644 index 586b942e..00000000 --- a/src/statisticsFunctions/variance/crowvariancea.c +++ /dev/null @@ -1,22 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -void crowvariancea(floatComplex *in, int lines, int columns, floatComplex* out){ - - int i = 0 ; - - for ( i = 0; i < columns ; i++) - out[i] = cvariancea ( in + i*lines , lines) ; -} - diff --git a/src/statisticsFunctions/variance/cvariancea.c b/src/statisticsFunctions/variance/cvariancea.c deleted file mode 100644 index 9d43928d..00000000 --- a/src/statisticsFunctions/variance/cvariancea.c +++ /dev/null @@ -1,36 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -floatComplex cvariancea(floatComplex *in, int size) -{ - int i = 0 ; - - floatComplex sum = FloatComplex ( 0 , 0 ) ; - floatComplex temp = FloatComplex ( 0 , 0 ) ; - floatComplex variance = FloatComplex ( 0 , 0 ); - floatComplex mean = cmeana ( in , size ) ; - - for ( i = 0 ; i < size ; i++) - { - temp = cdiffs( in[i] , mean ) ; - sum = cadds ( sum , cpows ( temp , FloatComplex ( 2, 0) ) ); - } - - variance = crdivs (sum , FloatComplex ( (float)(size - 1),0 )); - - return variance ; - - -} - diff --git a/src/statisticsFunctions/variance/dcolumnvariancea.c b/src/statisticsFunctions/variance/dcolumnvariancea.c deleted file mode 100644 index 2a8e89b0..00000000 --- a/src/statisticsFunctions/variance/dcolumnvariancea.c +++ /dev/null @@ -1,32 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -void dcolumnvariancea(double *in, int lines, int columns, double* out){ - - int i = 0 ; - - double* transp = (double*) malloc ( sizeof (double) *(unsigned int) (lines*columns)); - - - - dtransposea ( in , lines , columns , transp ) ; - - - for ( i = 0; i < lines ; i++) - out[i] = dvariancea ( transp + i*columns , columns ) ; - - - free (transp); -} - diff --git a/src/statisticsFunctions/variance/drowvariancea.c b/src/statisticsFunctions/variance/drowvariancea.c deleted file mode 100644 index 15123363..00000000 --- a/src/statisticsFunctions/variance/drowvariancea.c +++ /dev/null @@ -1,23 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - -#include "variance.h" - -void drowvariancea(double *in, int lines, int columns, double* out){ - - int i = 0 ; - - for ( i = 0; i < columns ; i++) - out[i] = dvariancea ( in + i*lines , lines ) ; - -} diff --git a/src/statisticsFunctions/variance/dvariancea.c b/src/statisticsFunctions/variance/dvariancea.c deleted file mode 100644 index 98ebf014..00000000 --- a/src/statisticsFunctions/variance/dvariancea.c +++ /dev/null @@ -1,35 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -double dvariancea(double *in, int size) -{ - int i = 0 ; - - double temp = 0 ; - double variance = 0; - - double mean = dmeana ( in , size ); - - for ( i = 0 ; i < size ; i++) - { - temp += dpows ( (in[i] - mean ) ,2 ) ; - } - - - variance = ( temp )/ ( size -1); - - - return variance ; -} - diff --git a/src/statisticsFunctions/variance/scolumnvariancea.c b/src/statisticsFunctions/variance/scolumnvariancea.c deleted file mode 100644 index 2c0ec08d..00000000 --- a/src/statisticsFunctions/variance/scolumnvariancea.c +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - -#include "variance.h" - - -void scolumnvariancea(float *in, int lines, int columns, float* out){ - int i = 0 ; - - float* transp = (float*) malloc ( sizeof (floatComplex) *(unsigned int) (lines*columns)); - - - - stransposea ( in , lines , columns , transp ) ; - - - for ( i = 0; i < lines ; i++) - out[i] = svariancea ( transp + i*columns , columns ) ; - - - free (transp); - -} - diff --git a/src/statisticsFunctions/variance/srowvariancea.c b/src/statisticsFunctions/variance/srowvariancea.c deleted file mode 100644 index 5f6ae304..00000000 --- a/src/statisticsFunctions/variance/srowvariancea.c +++ /dev/null @@ -1,21 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -void srowvariancea(float *in, int lines, int columns, float* out){ - - int i = 0 ; - - for ( i = 0; i < columns ; i++) - out[i] = svariancea ( in + i*lines , lines ) ; -} diff --git a/src/statisticsFunctions/variance/svariancea.c b/src/statisticsFunctions/variance/svariancea.c deleted file mode 100644 index 426fc454..00000000 --- a/src/statisticsFunctions/variance/svariancea.c +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -float svariancea(float *in, int size) -{ - int i = 0 ; - - float temp = 0 ; - float variance = 0; - - float mean = smeana ( in , size ); - - for ( i = 0 ; i < size ; i++) - { - temp += spows ( (in[i] - mean ) ,2 ) ; - } - - - variance = ( temp )/ (float)( size -1); - - - return variance ; -} diff --git a/src/statisticsFunctions/variance/svn-prop.tmp b/src/statisticsFunctions/variance/svn-prop.tmp deleted file mode 100644 index 4c36708a..00000000 --- a/src/statisticsFunctions/variance/svn-prop.tmp +++ /dev/null @@ -1,12 +0,0 @@ - -.libs -.deps -Makefile -testMatrixAddition -testMatrixSubtraction -testMatrixMultiplication -testMatrixDivision -*.o -*.lo -*.la - diff --git a/src/statisticsFunctions/variance/testDoubleVariance.c b/src/statisticsFunctions/variance/testDoubleVariance.c deleted file mode 100644 index b85a1571..00000000 --- a/src/statisticsFunctions/variance/testDoubleVariance.c +++ /dev/null @@ -1,335 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> - -#include "variance.h" - -#define SINGLE 1.323312455 -#define LINES 7 -#define COLUMNS 10 -#define MATRIX {0.102326436434,0.939044147730,0.638607255649,0.059883427806,0.311199211050,\ - 0.377510951832,0.909709410276,0.928138985299,0.855155082885,0.308869514614,\ -0.729239261709,0.127006734256,0.242402311414,0.807912770193,0.621117659844,\ - 0.081452373881,0.088844371960,0.587072817143,0.068080495112,0.995457543526,\ -0.835322400089,0.656235548668,0.767905956600,0.706818781793,0.187699332368,\ - 0.568810169585,0.401039466728,0.397196868435,0.483212330844,0.161224133335,\ -0.932864250615,0.719208867755,0.262409000657,0.931377100293,0.596724558622,\ - 0.310327019077,0.350161732174,0.104841318447,0.830732351169,0.804621329065,\ -0.050784428138,0.551920620725,0.125952405389,0.083156193607,0.420623748098,\ - 0.168616071343,0.707545555662,0.104633864947,0.465604968835,0.489758284763,\ -0.167727907188,0.760689914692,0.454900974408,0.063926273491,0.87152507063,0.978668818716,\ - 0.135898929089,0.484713065904,0.785042577423,0.049412418623,\ -0.947593610268,0.884073690511,0.212796610314,0.654832502827,0.007690255996,\ - 0.031808692031,0.706323316786,0.008731670678,0.270014822017,0.153652121313} - - -#define MATRIXROW {0.1688249423502767021521 , 0.0729081225272336097554 , 0.0579879770921138057438 , 0.1499989757031960635469 , 0.0850863194040760717485 , 0.1085086384507867873772 , 0.0969379859569881041637 , 0.1072816602642319844252 , 0.0913638718167188862429 , 0.1285778184208021535095 } -#define MATRIXCOL { 0.1233078274276283442523, \ - 0.1232135941992091865416 , \ - 0.0540377259589001762707 , \ - 0.0925512303008872161403 , \ - 0.0555055644879708723338 , \ - 0.1276299219577190779962 , \ - 0.1385167433745558840386 } - - -#define IMATRIX {0.05826747464016080,0.99946373142302036,0.85600351681932807,0.62329693790525198,\ - 0.49792320514097810,0.44210509583353996,0.55833499459549785,0.09633230511099100,\ - 0.80100952507928014,0.34466254524886608,\ -0.48831309471279383,0.95087061496451497,0.01332767866551876,0.76261807000264525,\ - 0.74346329551190138,0.65157829830422997,0.57006288319826126,0.70580983115360141,\ - 0.51323400903493166,0.64977857517078519,\ -0.80352442665025592,0.69910932797938585,0.69258948462083936,0.91169391758739948,\ - 0.92454590043053031,0.27637310232967138,0.31692579621449113,0.86305770650506020,\ - 0.20109100220724940,0.01225362811237574,\ -0.38199013099074364,0.96006405679509044,0.16440964583307505,0.59608811559155583,\ - 0.72101737372577190,0.58661046391353011,0.99326277803629637,0.00761850038543344,\ - 0.78608208894729614,0.89965870184823871,\ -0.43115562805905938,0.81857266277074814,0.83410377753898501,0.55516970623284578,\ - 0.51345925079658628,0.04770902730524540,0.80747798969969153,0.80489510949701071,\ - 0.78650354826822877,0.30791273340582848,\ -0.75731822755187750,0.53423820668831468,0.42618893459439278,0.85448804078623652,\ - 0.92601215932518244,0.94169309409335256,0.85547966323792934,0.59637623047456145,\ - 0.69515300076454878,0.18359116325154901,\ -0.01200280850753188,0.2255702270194888,0.34853330114856362,0.55313225090503693,\ - 0.63695094687864184,0.96132039744406939,0.50314606027677655,0.11768362112343311,\ - 0.42481321236118674,0.52963322307914495} - -#define RMATRIX {0.53868199465796351,0.65326874051243067,0.37497402401641011,0.60422550700604916,\ - 0.33622304117307067,0.03531436901539564,0.33213760564103723,0.39493087679147720,\ - 0.04170337272807956,0.87363853026181459,\ -0.65950810909271240,0.31221040291711688,0.15333442110568285,0.66478573577478528,\ - 0.44319023378193378,0.40884594758972526,0.94536898937076330,0.67733758920803666,\ - 0.18673646822571754,0.92331133363768458,\ -0.55921846115961671,0.75012728199362755,0.23257926432415843,0.57102064136415720,\ - 0.60969385923817754,0.67336730472743511,0.07624059682711959,0.10437540244311094,\ - 0.95672677317634225,0.19771346449851990,\ -0.05278092902153730,0.75808868417516351,0.17633479088544846,0.01146994484588504,\ - 0.36732212174683809,0.19948644982650876,0.52714426256716251,0.21445603063330054,\ - 0.94751045759767294,0.04272260749712586,\ -0.03257346292957664,0.53217577841132879,0.87635089689865708,0.15471007302403450,\ - 0.25448470888659358,0.91815057490020990,0.72509902389720082,0.87545845471322536,\ - 0.05635281419381499,0.01432112138718367,\ -0.57406943850219250,0.80984140699729323,0.01664119493216276,0.93888836959376931,\ - 0.11264799535274506,0.66036546928808093,0.76042845565825701,0.25908330874517560,\ - 0.88014078326523304,0.70332178613170981,\ -0.94614937948063016,0.78529163636267185,0.20241560926660895,0.10981105919927359,\ - 0.75415370846167207,0.15320260450243950,0.59521253732964396,0.71318271104246378,\ - 0.51107599260285497,0.52125945501029491} - - - - - - -#define IMATRIXROW {-0.0419293790250184,-0.05416405376783551,+0.11775191182077104,+0.08015791690354153,+0.00011032748454003,\ --0.10124210045965254,0.06720614014223115,+0.02470873836336094,-0.07082037296251543,-0.00621987869853545} - -#define RMATRIXROW {0.01439621349781126,-0.04697393442028135,-0.03018604392150223,0.09765990436118642,0.01606884471097247,\ --0.00604250542333471,0.02870576510687836,-0.04985742926427023,0.12356001472881707,0.05909180726174274} - -#define IMATRIXCOL {-0.01904810719805961,+0.04121453132770223,+0.00378553967089328,\ -+0.10307670507342410,+0.03497427750676810,+0.01761849804019567,-0.10182321471060848} - -#define RMATRIXCOL {-0.02739893277693160,0.01792852626358409,-0.02205084134302381,\ --0.01012610864032573,0.07317682977907164,0.04762062457313784,0.00849011627117621} - - -static void dvariancesTest (void ) { - - double toTest = dvariances (SINGLE) ; - - assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ; -} - - -static void drowvariancesTest (void ) { - - double toTest = drowvariances (SINGLE) ; - - assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ; -} - -static void dcolumnvariancesTest (void) { - - double toTest = dcolumnvariances (SINGLE) ; - - assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-16 ) ; -} - - -static void zvariancesTest (void ) { - - doubleComplex toTest = zvariances ( DoubleComplex ( SINGLE , SINGLE ) ); - - assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ; - assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ; -} - -static void zrowvariancesTest (void ) { - - doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) ); - - assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ; - assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ; -} - -static void zcolumnvariancesTest (void ) { - - doubleComplex toTest = zrowvariances ( DoubleComplex ( SINGLE , SINGLE ) ); - - assert ( fabs ( zreals( toTest) - SINGLE ) / fabs( zreals( toTest)) < 1e-16 ) ; - assert ( fabs ( zimags( toTest) - SINGLE ) / fabs( zimags( toTest)) < 1e-16 ) ; -} - - - - - - -static void dvarianceaTest ( void){ - - double mtoTest[] = MATRIX ; - double result = 0.1007532974338590653352; - double out = dvariancea ( mtoTest , LINES*COLUMNS ); ; - - - - printf ( "out : %1.20f\t result : %1.20f\t\n" , out , result ) ; - - - - assert ( fabs ( out - result ) / fabs( out ) < 3e-16 ) ; - -} - - -static void drowvarianceaTest ( void ) -{ - int i = 0 ; - - double mtoTest[] = MATRIX ; - double result[LINES] = MATRIXCOL ; - double out[LINES] ; - - drowvariancea ( mtoTest , COLUMNS , LINES , out ) ; - - for ( i = 0 ; i < LINES ; i++) - { - printf ( "ROWout : %1.20f\t result : %1.20f\t\n" , out[i] , result [i] ) ; - assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ; - } - -} - -static void dcolumnvarianceaTest ( void ) -{ - int i = 0 ; - - double mtoTest[] = MATRIX ; - double result[COLUMNS] = MATRIXROW ; - double out[ COLUMNS] ; - - - - dcolumnvariancea ( mtoTest , COLUMNS, LINES , out ) ; - - for ( i = 0 ; i < COLUMNS; i++) - { - printf ( "%dCOLout : %1.20f\t result : %1.20f\t\n" ,i, out[i] , result [i] ) ; } - for ( i = 0 ; i < COLUMNS; i++) - { - assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 3e-16 ) ; - } - -} - - - - -static void zvarianceaTest ( void){ - - double rmtoTest [] = RMATRIX ; - double imtoTest [] = IMATRIX ; - doubleComplex Result = DoubleComplex ( 0.01225832057910708 , 0.01071188208687752 ); - - doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ; - doubleComplex out = zvariancea ( mtoTest , LINES*COLUMNS ); ; - - assert ( fabs( zreals(out) - zreals (Result) ) / fabs (zreals (out)) < 3e-16 ); - assert( fabs( zimags(out) - zimags (Result )) / fabs (zimags (out)) < 3e-16 ); - - -} - -static void zrowvarianceaTest (void ) { - - int i = 0 ; - - double rmtoTest [] = RMATRIX ; - double imtoTest [] = IMATRIX ; - double rResult [] = RMATRIXROW; - double iResult [] = IMATRIXROW ; - - doubleComplex out[COLUMNS]; - doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ; - doubleComplex* Result = DoubleComplexMatrix ( rResult , iResult , COLUMNS ); - - zrowvariancea ( mtoTest , LINES , COLUMNS , out ) ; - - /*FIXME test failed under 1-e04 precision */ - for ( i = 0 ; i < COLUMNS ; i++) - { - printf ( "%d out : %e %e \t result %e %e \n" , i , zreals(out[i]) , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i])); - assert ( fabs( zreals(out[i]) - zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-16 ); - assert( fabs( zimags(out[i]) - zimags (Result[i])) / fabs (zimags (out[i])) < 3e-16); - - } -} - - - -static void zcolumnvarianceaTest ( void) { - int i = 0 ; - - double rmtoTest [] = RMATRIX ; - double imtoTest [] = IMATRIX ; - double rResult [] = RMATRIXCOL; - double iResult [] = IMATRIXCOL ; - - doubleComplex out[LINES]; - doubleComplex* mtoTest = DoubleComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ; - doubleComplex* Result = DoubleComplexMatrix ( rResult , iResult , LINES ); - - zcolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ; - - - for ( i = 0 ; i < LINES ; i++) - { - printf ( "%d out : %e %e \t result %e %e \n" , i , zreals(out[i]) , zimags(out[i]), zreals(Result[i]) ,zimags( Result[i])); - assert ( fabs( zreals(out[i]) - zreals (Result[i]) ) / fabs (zreals (out[i])) < 3e-16 ); - assert( fabs( zimags(out[i]) - zimags (Result[i])) / fabs (zimags (out[i])) < 3e-16); - - } - - - -} - - - - - -static int testDoubleVariance (void) { - printf("\n\n\n\n*********************\n"); - printf("***** Double Tests ****\n"); - printf("*********************\n"); - - printf("\n\t>>>>singleton real Tests\n"); - dcolumnvariancesTest () ; - dvariancesTest () ; - drowvariancesTest () ; - - - printf("\n\t>>>>singleton complex Tests\n"); - - zrowvariancesTest () ; - zcolumnvariancesTest () ; - zvariancesTest () ; - - - - printf("\n\t>>>>array real Tests\n"); - - dvarianceaTest () ; - - dcolumnvarianceaTest () ; - drowvarianceaTest ( ); - - - printf("\n\t>>>>array complex Tests\n"); - - zvarianceaTest () ; - zrowvarianceaTest ( ); - zcolumnvarianceaTest () ; - - - return 0; -} - -int main(void) { - assert(testDoubleVariance () == 0); - return 0; -} - diff --git a/src/statisticsFunctions/variance/testDoubleVarianceNono.c b/src/statisticsFunctions/variance/testDoubleVarianceNono.c deleted file mode 100644 index 890fb359..00000000 --- a/src/statisticsFunctions/variance/testDoubleVarianceNono.c +++ /dev/null @@ -1,363 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" -#include "assert.h" - -static int doubleVariance(void){ - - int i; - - - /*test 1 */ - { - double matrice[20]={1,5,9,4,8,2,6,1,5,9,3,7,2,6,1,4,8,3,7,2}; - double out, *outColumns, *outRows; - double result= 7.5026315789473692063893; - double resultColumns[5]= {1.6666666666666667406815 ,1.6666666666666667406815 ,12.916666666666666074548 ,1.6666666666666667406815 ,16.666666666666667850905}; - double resultRows[4]={10.300000000000000710543 , 10.300000000000000710543 , 6.7000000000000001776357 , 6.7000000000000001776357}; - - - - outColumns= (double*)malloc((unsigned int)5*sizeof(double)); - outRows= (double*)malloc((unsigned int)4*sizeof(double)); - - out = dvariancea(matrice,20); - drowvariancea(matrice,5,4,outRows); - dcolumnvariancea(matrice,5,4,outColumns); - - - printf("Variance \n"); - printf("%f\n",out); - printf("Row Variance \n"); - for (i=0;i<4;i++) printf("%f\n",outRows[i]); - printf("Column Variance \n"); - for (i=0;i<5;i++) printf("%f\n",outColumns[i]); - - - assert(fabs(out-result)/fabs(out) <1e-16); - for (i=0;i<4;i++)assert(fabs(outRows[i]-resultRows[i])/fabs(outRows[i]) <1e-16); - - for (i=0;i<5;i++)assert(fabs(outColumns[i]-resultColumns[i])/fabs(outColumns[i]) <1e-16); - - free(outColumns); - free(outRows); - - } - - - /* test 2 */ - - { - double mtovar[70]={0.2113248654641211032867,0.7560438541695475578308,0.0002211346291005611420, - 0.3303270917385816574097,0.6653811042197048664093,0.6283917883411049842835, - 0.8497452358715236186981, - 0.6857310198247432708740,0.8782164813019335269928,0.0683740368112921714783, - 0.5608486062847077846527,0.6623569373041391372681,0.7263506767340004444122, - 0.1985143842175602912903, - 0.5442573162727057933807,0.2320747897028923034668,0.2312237196601927280426, - 0.2164632631465792655945,0.8833887814544141292572,0.6525134947150945663452, - 0.3076090742833912372589, - 0.9329616213217377662659,0.2146007861010730266571,0.3126419968903064727783, - 0.3616361008025705814362,0.2922266637906432151794,0.5664248815737664699554, - 0.4826471973210573196411, - 0.3321718913502991199493,0.5935094701126217842102,0.5015341597609221935272, - 0.4368587583303451538086,0.2693124809302389621735,0.6325744865462183952332, - 0.4051954015158116817474, - 0.9184707831591367721558,0.0437334333546459674835,0.4818508932366967201233, - 0.2639556000940501689911,0.4148103706538677215576,0.2806498021818697452545, - 0.1280058464035391807556, - 0.7783128595910966396332,0.2119030449539422988892,0.1121354666538536548615, - 0.6856895955279469490051,0.1531216683797538280487,0.6970850601792335510254, - 0.8415518426336348056793, - 0.4062024755403399467468,0.4094825475476682186127,0.8784125801175832748413, - 0.1138359685428440570831,0.1998337740078568458557,0.5618660743348300457001, - 0.5896177329123020172119, - 0.6853979662992060184479,0.8906224733218550682068,0.5042212805710732936859, - 0.3493615407496690750122,0.3873778772540390491486,0.9222898678854107856751, - 0.9488184261135756969452, - 0.3435337245464324951172,0.3760118731297552585602,0.7340940563008189201355, - 0.2615761472843587398529,0.4993493836373090744019,0.2638578419573605060577, - 0.5253563085570931434631}; - double out2, *outColumns2, *outRows2; - double result2= 0.0651863337585355667736 ; - double resultColumns2[7]= {0.0650391675869589902526 , - 0.0913789208052724344356 , - 0.0837863718398224738282 , - 0.0281545517812518443501 , - 0.0549594706400152802073 , - 0.0389978730537587012228 , - 0.0796657637071630925218 , - }; - double resultRows2[10]={0.0988544518240001696130 , 0.0874673050908554156058 , 0.0678199050579095519264, 0.0591380787668954188696 , 0.0175386373980947855855 ,0.0831815708684833926556 , 0.1035239817400336881370 , 0.0657802543744439444096 , 0.0667446022405332184402 , 0.0287884625084994134891}; - - - outColumns2= (double*)malloc((unsigned int)7*sizeof(double)); - outRows2= (double*)malloc((unsigned int)10*sizeof(double)); - - - - out2 = dvariancea(mtovar,70); - drowvariancea(mtovar,7,10,outRows2); - dcolumnvariancea(mtovar,7,10,outColumns2); - - - printf("Variance 2 \n"); - printf("%f\n",out2); - printf("Row Variance 2 \n"); - for (i=0;i<10;i++) printf("%f\n",outRows2[i]); - printf("Column Variance 2 \n"); - for (i=0;i<7;i++) printf("%f\n",outColumns2[i]); - - assert(fabs(out2-result2)/fabs(out2) <1e-16); - for (i=0;i<10;i++)assert(fabs(outRows2[i]-resultRows2[i])/fabs(outRows2[i]) <1e-16); - - for (i=0;i<7;i++)assert(fabs(outColumns2[i]-resultColumns2[i])/fabs(outColumns2[i]) <1e-16); - - free(outColumns2); - free(outRows2); - } - - - return 0; -} - - -static int doubleComplexVariance(void){ - int i; - - /* test 1 */ - { - double inR[6]={0.9677053210325539112091,0.5068534435704350471497,0.523297640960663557053,0.5596947595477104187012, - 0.5617307000793516635895,0.468176002614200115204}; - double inI[6]={0.7794546722434461116791,0.7901071812957525253296,0.9808542062528431415558,0.8187066102400422096252, - 0.4256872381083667278290,0.2461560554802417755127}; - double varianceR=- 0.0428404140538702279950; - double varianceI=0.0257955584577409802183; - double rowVarianceR[3]={0.106135488505625180666,- 0.0124835463256454722719,- 0.01173948205902856229}; - double rowVarianceI[3]={- 0.0049092287964376275095,- 0.0059017052806824826100,0.0167959854763351026929}; - double colVarianceR[2]={- 0.0183554755457089394111,- 0.1019751767306446843531}; - double colVarianceI[2]={0.0109267784648201249365,0.0249829946888768111846}; - doubleComplex *in, *rowVariance, *colVariance; - doubleComplex out, *outRow, *outCol; - - in= (doubleComplex*)malloc ((unsigned int)6*sizeof(doubleComplex)); - outRow= (doubleComplex*)malloc ((unsigned int)3*sizeof(doubleComplex)); - outCol= (doubleComplex*)malloc ((unsigned int)2*sizeof(doubleComplex)); - - in=DoubleComplexMatrix(inR,inI,6); - rowVariance=DoubleComplexMatrix(rowVarianceR,rowVarianceI,3); - colVariance=DoubleComplexMatrix(colVarianceR,colVarianceI,2); - - - out=zvariancea(in,6); - printf("Variance \n"); - printf("%f + %f *i\n",zreals(out),zimags(out)); - - assert(fabs(zreals(out)-varianceR)/fabs(zreals(out)) <3e-16); - assert(fabs(zimags(out)-varianceI)/fabs(zimags(out)) <3e-16); - - - - - - zrowvariancea(in,2,3,outRow); - printf("Row Variance \n"); - for (i=0;i<3;i++) printf("%1.20f + %1.20f *i\n",zreals(outRow[i]),zimags(outRow[i])); - - - for (i=0;i<3;i++){ - assert(fabs(zreals(outRow[i])-rowVarianceR[i])/fabs(zreals(outRow[i])) <3e-16); - assert(fabs(zimags(outRow[i])-rowVarianceI[i])/fabs(zimags(outRow[i])) <3e-16); - } - - - - zcolumnvariancea(in,2,3,outCol); - printf("Column Variance \n"); - for (i=0;i<2;i++) printf("%f + %f *i\n",zreals(outCol[i]),zimags(outCol[i])); - - - for (i=0;i<2;i++){ - assert(fabs(zreals(outCol[i])-colVarianceR[i])/fabs(zreals(outCol[i])) <3e-16); - assert(fabs(zimags(outCol[i])-colVarianceI[i])/fabs(zimags(outCol[i])) <3e-16); - } - - free(in); - free(outCol); - free(outRow); - - } - - - printf("\n"); - printf("\n"); - printf("\n"); - printf("\n"); - - - /* test 2 */ - { - double inR[70]={0.0453502028249204158783,0.2029444333165884017944,0.7844273825176060199738, - 0.2637536162510514259338,0.4383276398293673992157,0.866485897451639175415, - 0.3792142109014093875885,0.7668716078624129295349,0.6006621322594583034515, - 0.7856735605746507644653, -0.7387115550227463245392,0.5544260339811444282532,0.9929149555973708629608, - 0.9757428467273712158203,0.3709622272290289402008,0.3032238213345408439636, - 0.9519520117901265621185,0.7127858083695173263550,0.119237006176263093948, - 0.5009163180366158485413, -0.3290053526870906352997,0.4808946810662746429443,0.3303695977665483951569, - 0.6304475357756018638611,0.2117190784774720668793,0.4486023131757974624634, - 0.5914509710855782032013,0.6806742670014500617981,0.0739296111278235912323, - 0.9433694705367088317871, -0.1286330693401396274567,0.2019080771133303642273,0.1969303428195416927338, - 0.8928690161556005477905,0.4617918957956135272980,0.6251291716471314430237, - 0.7059706593863666057587,0.7018169648945331573486,0.4087999747134745121002, - 0.0636221384629607200623, -0.0657393387518823146820,0.5331004131585359573364,0.0331581872887909412384, - 0.3157835649326443672180,0.3785823243670165538788,0.4619523435831069946289, - 0.6287369825877249240875,0.2878515301272273063660,0.3292048736475408077240, - 0.4719233047217130661011, -0.3353769634850323200226,0.5553069720044732093811,0.1196080814115703105927, - 0.7613999657332897186279,0.4790988476015627384186,0.2816969295963644981384, - 0.2380097783170640468597,0.3294205460697412490845,0.2306728032417595386505, - 0.2136296601966023445129, -0.4054998042993247509003,0.3095371201634407043457,0.6762971603311598300934, - 0.970691631548106670380,0.5441796570084989070892,0.0204747971147298812866, - 0.8941364963538944721222,0.3490363890305161476135,0.1105365152470767498016, - 0.2023377753794193267822}; - double inI[70]={1.0377217042259871959686,1.9830380710773169994354,-0.6786614381708204746246, - -1.7368789152242243289948,0.6849579229019582271576,-1.9756898251362144947052, 0.9018773441202938556671,0.4113956945948302745819,0.0771432374604046344757, - -2.6145569621585309505463, --0.8694803346879780292511,1.1954508102498948574066,1.0175080369226634502411, - -1.86952689336612820625,1.6495719677768647670746,-1.1282413271255791187286, - 1.7159116868861019611359,1.3512618443928658962250,1.6467350018210709095001, - -4.3247690196149051189423, --1.1214177873916923999786,0.3549467395059764385223,1.5090364827774465084076, - 0.0271988785825669765472,-0.3927204073406755924225,-2.2866433826275169849396, - 2.4531399612314999103546,1.2140426929108798503876,0.1123848785646259784699, - -1.2278760573826730251312, -0.5748759503476321697235,0.1001535071991384029388,0.7154782521538436412811, - -0.3598340046592056751251,0.1114491275511682033539,-1.0214430955238640308380, - 1.8411546354182064533234,1.3313704966567456722260,0.107393887359648942947, - -2.1405860441736876964569, --0.1921784919686615467072,-0.0941377175040543079376,-0.3007089742459356784821, - -1.6332105011679232120514,-0.9827875629998743534088,-4.0793808070011436939240, - 1.6021160488016903400421,0.5996482106857001781464,-1.0103867049328982830048, - -1.9795853956602513790131, --0.7019297261722385883331,0.1910370937548577785492,0.5148729826323688030243, - -1.2210475285537540912628,1.4409833527170121669769,-2.0624672439880669116974, - 2.2999203805811703205109,1.6434787488542497158051,-0.0813916879706084728241, - -4.3653216282837092876434, -0.0896512451581656932831,1.4530082489363849163055,-0.1911182911135256290436, - -1.5278804996050894260406,-0.8655951828695833683014,-2.6959278550930321216583, - 1.089711368549615144730,0.2611377011053264141083,-0.0787748913280665874481, - -1.675187868531793355942}; - double varianceR=- 2.3201230329620456949158; - double varianceI=0.0135359053960125846894; - double rowVarianceR[7]={- 2.1748250359163439071608,- 4.0055927597555047725564,- 1.9380991813636070375537,- 1.211164632384367667584, - - 2.3819157100812309302285,- 3.865411523472068289209,- 1.5488286339908912125907}; - double rowVarianceI[7]={- 0.5161401892195496277083,- 0.0302397956223948334575,0.0072526988331105511632,0.2035074619460965072992, - - 0.0227578793067023492369,0.0176453877563822227048,0.2048099414748655033858}; - double colVarianceR[10]={ - 0.5673920596394929072304, - - 0.6095831761740567733554, - - 0.4837275005370789138226, - - 0.4518709923747168399899, - - 1.1155710732654480210613, - - 0.9922425930742954092168, - - 0.2615272073355465187738, - - 0.2448899237808548345896, - - 0.5783271525148965253038, - - 1.4662540245146995498970 }; - double colVarianceI[10]={ - 0.2519451287679840834066, - - 0.1132720366896080160801, - - 0.0393753052279357945720 , - 0.0678956480014177715665 , - 0.0165011281984272333012 , - 0.1043646242921155153915 , - - 0.0697520473529744805541 , - 0.0395755738577838397929 , - - 0.0906906077772287183558 , - 0.2030521845859689644698 }; - doubleComplex *in, *rowVariance, *colVariance; - doubleComplex out, *outRow, *outCol; - - in= (doubleComplex*)malloc ((unsigned int)70*sizeof(doubleComplex)); - outRow= (doubleComplex*)malloc ((unsigned int)7*sizeof(doubleComplex)); - outCol= (doubleComplex*)malloc ((unsigned int)10*sizeof(doubleComplex)); - - in=DoubleComplexMatrix(inR,inI,70); - rowVariance=DoubleComplexMatrix(rowVarianceR,rowVarianceI,7); - colVariance=DoubleComplexMatrix(colVarianceR,colVarianceI,10); - - - out=zvariancea(in,70); - printf("Variance 2 \n"); - printf("%f + %f *i\n",zreals(out),zimags(out)); - - assert(fabs(zreals(out)-varianceR)/fabs(zreals(out)) <3e-16); - assert(fabs(zimags(out)-varianceI)/fabs(zimags(out)) <3e-16); - - - - - - zrowvariancea(in,10,7,outRow); - printf("Row Variance 2 \n"); - for (i=0;i<7;i++) printf("%1.20f + %1.20f *i\n",zreals(outRow[i]),zimags(outRow[i])); - - - for (i=0;i<7;i++){ - assert(fabs(zreals(outRow[i])-rowVarianceR[i])/fabs(zreals(outRow[i])) <3e-16); - assert(fabs(zimags(outRow[i])-rowVarianceI[i])/fabs(zimags(outRow[i])) <3e-16); - } - - - - zcolumnvariancea(in,10,7,outCol); - printf("Column Variance 2 \n"); - for (i=0;i<10;i++) printf("%f + %f *i\n",zreals(outCol[i]),zimags(outCol[i])); - - - for (i=0;i<10;i++){ - assert(fabs(zreals(outCol[i])-colVarianceR[i])/fabs(zreals(outCol[i])) <3e-16); - assert(fabs(zimags(outCol[i])-colVarianceI[i])/fabs(zimags(outCol[i])) <3e-16); - } - free(in); - free(outCol); - free(outRow); - - } - - return 0; -} - - - - - -static int testDoubleVariance (void) { - printf("\n\n\n\n*********************\n"); - printf("***** Double Tests Nono****\n"); - printf("*********************\n"); - assert(doubleVariance()==0); - assert(doubleComplexVariance()==0); - - - return 0; -} - -int main(void) { - assert(testDoubleVariance () == 0); - return 0; -} - diff --git a/src/statisticsFunctions/variance/testFloatVariance.c b/src/statisticsFunctions/variance/testFloatVariance.c deleted file mode 100644 index 97b56d4d..00000000 --- a/src/statisticsFunctions/variance/testFloatVariance.c +++ /dev/null @@ -1,329 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include <assert.h> -#include <stdio.h> - -#include "variance.h" - -#define SINGLE 1.323312455f -#define LINES 7 -#define COLUMNS 10 -#define MATRIX {0.102326436434f,0.939044147730f,0.638607255649f,0.059883427806f,0.311199211050f,\ - 0.377510951832f,0.909709410276f,0.928138985299f,0.855155082885f,0.308869514614f,\ -0.729239261709f,0.127006734256f,0.242402311414f,0.807912770193f,0.621117659844f,\ - 0.081452373881f,0.088844371960f,0.587072817143f,0.068080495112f,0.995457543526f,\ -0.835322400089f,0.656235548668f,0.767905956600f,0.706818781793f,0.187699332368f,\ - 0.568810169585f,0.401039466728f,0.397196868435f,0.483212330844f,0.161224133335f,\ -0.932864250615f,0.719208867755f,0.262409000657f,0.931377100293f,0.596724558622f,\ - 0.310327019077f,0.350161732174f,0.104841318447f,0.830732351169f,0.804621329065f,\ -0.050784428138f,0.551920620725f,0.125952405389f,0.083156193607f,0.420623748098f,\ - 0.168616071343f,0.707545555662f,0.104633864947f,0.465604968835f,0.489758284763f,\ -0.167727907188f,0.760689914692f,0.454900974408f,0.063926273491f,0.87152507063f,0.978668818716f,\ - 0.135898929089f,0.484713065904f,0.785042577423f,0.049412418623f,\ -0.947593610268f,0.884073690511f,0.212796610314f,0.654832502827f,0.007690255996f,\ - 0.031808692031f,0.706323316786f,0.008731670678f,0.270014822017f,0.153652121313f} - - -#define MATRIXROW {0.168824942350f,0.072908122527f,0.057987977092f,0.149998975703f,0.085086319404f,\ -0.108508638451f,0.096937985957f,0.107281660264f,0.091363871817f,0.128577818421f} - -#define MATRIXCOL { 0.123307827428f,0.123213594199f,0.054037725959f,0.092551230301f,0.055505564488f,\ -0.127629921958f,0.138516743375f } - - -#define IMATRIX {0.05826747464016080f,0.99946373142302036f,0.85600351681932807f,0.62329693790525198f,\ - 0.49792320514097810f,0.44210509583353996f,0.55833499459549785f,0.09633230511099100f,\ - 0.80100952507928014f,0.34466254524886608f,\ -0.48831309471279383f,0.95087061496451497f,0.01332767866551876f,0.76261807000264525f,\ - 0.74346329551190138f,0.65157829830422997f,0.57006288319826126f,0.70580983115360141f,\ - 0.51323400903493166f,0.64977857517078519f,\ -0.80352442665025592f,0.69910932797938585f,0.69258948462083936f,0.91169391758739948f,\ - 0.92454590043053031f,0.27637310232967138f,0.31692579621449113f,0.86305770650506020f,\ - 0.20109100220724940f,0.01225362811237574f,\ -0.38199013099074364f,0.96006405679509044f,0.16440964583307505f,0.59608811559155583f,\ - 0.72101737372577190f,0.58661046391353011f,0.99326277803629637f,0.00761850038543344f,\ - 0.78608208894729614f,0.89965870184823871f,\ -0.43115562805905938f,0.81857266277074814f,0.83410377753898501f,0.55516970623284578f,\ - 0.51345925079658628f,0.04770902730524540f,0.80747798969969153f,0.80489510949701071f,\ - 0.78650354826822877f,0.30791273340582848f,\ -0.75731822755187750f,0.53423820668831468f,0.42618893459439278f,0.85448804078623652f,\ - 0.92601215932518244f,0.94169309409335256f,0.85547966323792934f,0.59637623047456145f,\ - 0.69515300076454878f,0.18359116325154901f,\ -0.01200280850753188f,0.2255702270194888f,0.34853330114856362f,0.55313225090503693f,\ - 0.63695094687864184f,0.96132039744406939f,0.50314606027677655f,0.11768362112343311f,\ - 0.42481321236118674f,0.52963322307914495f} - -#define RMATRIX {0.53868199465796351f,0.65326874051243067f,0.37497402401641011f,0.60422550700604916f,\ - 0.33622304117307067f,0.03531436901539564f,0.33213760564103723f,0.39493087679147720f,\ - 0.04170337272807956f,0.87363853026181459f,\ -0.65950810909271240f,0.31221040291711688f,0.15333442110568285f,0.66478573577478528f,\ - 0.44319023378193378f,0.40884594758972526f,0.94536898937076330f,0.67733758920803666f,\ - 0.18673646822571754f,0.92331133363768458f,\ -0.55921846115961671f,0.75012728199362755f,0.23257926432415843f,0.57102064136415720f,\ - 0.60969385923817754f,0.67336730472743511f,0.07624059682711959f,0.10437540244311094f,\ - 0.95672677317634225f,0.19771346449851990f,\ -0.05278092902153730f,0.75808868417516351f,0.17633479088544846f,0.01146994484588504f,\ - 0.36732212174683809f,0.19948644982650876f,0.52714426256716251f,0.21445603063330054f,\ - 0.94751045759767294f,0.04272260749712586f,\ -0.03257346292957664f,0.53217577841132879f,0.87635089689865708f,0.15471007302403450f,\ - 0.25448470888659358f,0.91815057490020990f,0.72509902389720082f,0.87545845471322536f,\ - 0.05635281419381499f,0.01432112138718367f,\ -0.57406943850219250f,0.80984140699729323f,0.01664119493216276f,0.93888836959376931f,\ - 0.11264799535274506f,0.66036546928808093f,0.76042845565825701f,0.25908330874517560f,\ - 0.88014078326523304f,0.70332178613170981f,\ -0.94614937948063016f,0.78529163636267185f,0.20241560926660895f,0.10981105919927359f,\ - 0.75415370846167207f,0.15320260450243950f,0.59521253732964396f,0.71318271104246378f,\ - 0.51107599260285497f,0.52125945501029491f} - - - - - - -#define IMATRIXROW {-0.0419293790250184f,-0.05416405376783551f,+0.11775191182077104f,+0.08015791690354153f,+0.00011032748454003f,\ --0.10124210045965254f,0.06720614014223115f,+0.02470873836336094f,-0.07082037296251543f,-0.00621987869853545f} - -#define RMATRIXROW {0.01439621349781126f,-0.04697393442028135f,-0.03018604392150223f,0.09765990436118642f,0.01606884471097247f,\ --0.00604250542333471f,0.02870576510687836f,-0.04985742926427023f,0.12356001472881707f,0.05909180726174274f} - -#define IMATRIXCOL {-0.01904810719805961f,+0.04121453132770223f,+0.00378553967089328f,\ -+0.10307670507342410f,+0.03497427750676810f,+0.01761849804019567f,-0.10182321471060848f} - -#define RMATRIXCOL {-0.02739893277693160f,0.01792852626358409f,-0.02205084134302381f,\ --0.01012610864032573f,0.07317682977907164f,0.04762062457313784f,0.00849011627117621f} - - -static void svariancesTest (void ) { - - float toTest = svariances (SINGLE) ; - - assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ; -} - - -static void srowvariancesTest (void ) { - - float toTest = srowvariances (SINGLE) ; - - assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ; -} - -static void scolumnvariancesTest (void) { - - float toTest = scolumnvariances (SINGLE) ; - - assert ( fabs ( toTest - SINGLE ) / fabs( toTest) < 1e-06 ) ; -} - - -static void cvariancesTest (void ) { - - floatComplex toTest = cvariances ( FloatComplex ( SINGLE , SINGLE ) ); - - assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ; - assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ; -} - -static void crowvariancesTest (void ) { - - floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) ); - - assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ; - assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ; -} - -static void ccolumnvariancesTest (void ) { - - floatComplex toTest = crowvariances ( FloatComplex ( SINGLE , SINGLE ) ); - - assert ( fabs ( creals( toTest) - SINGLE ) / fabs( creals( toTest)) < 1e-06 ) ; - assert ( fabs ( cimags( toTest) - SINGLE ) / fabs( cimags( toTest)) < 1e-06 ) ; -} - - - - - - -static void svarianceaTest ( void){ - - float mtoTest[] = MATRIX ; - float result = 0.100753297434f; - float out = svariancea ( mtoTest , LINES*COLUMNS ); ; - - - - printf ( "out : %e\t result : %e\t\n" , out , result ) ; - - - - assert ( fabs ( out - result ) / fabs( out ) < 1e-06 ) ; - -} - - -static void srowvarianceaTest ( void ) -{ - int i = 0 ; - - float mtoTest[] = MATRIX ; - float result[COLUMNS] = MATRIXROW ; - float out[COLUMNS] ; - - srowvariancea ( mtoTest , LINES , COLUMNS , out ) ; - - for ( i = 0 ; i < COLUMNS ; i++) - { - printf ( "ROWout : %e\t result : %e\t\n" , out[i] , result [i] ) ; - assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-06 ) ; - } - -} - -static void scolumnvarianceaTest ( void ) -{ - int i = 0 ; - - float mtoTest[] = MATRIX ; - float result[LINES] = MATRIXCOL ; - float out[ LINES] ; - - - - scolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ; - - for ( i = 0 ; i < LINES ; i++) - { - printf ( "%dCOLout : %e\t result : %e\t\n" ,i, out[i] , result [i] ) ; - assert ( fabs ( out[i] - result[i] ) / fabs( out[i] ) < 1e-06 ) ; - } - -} - - - - -static void cvarianceaTest ( void){ - - float rmtoTest [] = RMATRIX ; - float imtoTest [] = IMATRIX ; - floatComplex Result = FloatComplex ( 0.01225832057910708f , 0.01071188208687752f ); - - floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ; - floatComplex out = cvariancea ( mtoTest , LINES*COLUMNS ); ; - - assert ( fabs( creals(out) - creals (Result) ) / fabs (creals (out)) < 1e-06 ); - assert( fabs( cimags(out) - cimags (Result )) / fabs (cimags (out)) < 1e-06 ); - - -} - -static void crowvarianceaTest (void ) { - - int i = 0 ; - - float rmtoTest [] = RMATRIX ; - float imtoTest [] = IMATRIX ; - float rResult [] = RMATRIXROW; - float iResult [] = IMATRIXROW ; - - floatComplex out[COLUMNS]; - floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ; - floatComplex* Result = FloatComplexMatrix ( rResult , iResult , COLUMNS ); - - crowvariancea ( mtoTest , LINES , COLUMNS , out ) ; - - /*FIXME test failed under 1-e04 precision */ - for ( i = 0 ; i < COLUMNS ; i++) - { - printf ( "%d out : %e %e \t result %e %e \n" , i , creals(out[i]) , cimags(out[i]), creals(Result[i]) ,cimags( Result[i])); - assert ( fabs( creals(out[i]) - creals (Result[i]) ) / fabs (creals (out[i])) < 3e-6 ); - assert( fabs( cimags(out[i]) - cimags (Result[i])) / fabs (cimags (out[i])) < 3e-6); - - } -} - - - -static void ccolumnvarianceaTest ( void) { - int i = 0 ; - - float rmtoTest [] = RMATRIX ; - float imtoTest [] = IMATRIX ; - float rResult [] = RMATRIXCOL; - float iResult [] = IMATRIXCOL ; - - floatComplex out[LINES]; - floatComplex* mtoTest = FloatComplexMatrix ( rmtoTest , imtoTest , LINES*COLUMNS ) ; - floatComplex* Result = FloatComplexMatrix ( rResult , iResult , LINES ); - - ccolumnvariancea ( mtoTest , LINES , COLUMNS , out ) ; - - - for ( i = 0 ; i < LINES ; i++) - { - printf ( "%d out : %e %e \t result %e %e \n" , i , creals(out[i]) , cimags(out[i]), creals(Result[i]) ,cimags( Result[i])); - assert ( fabs( creals(out[i]) - creals (Result[i]) ) / fabs (creals (out[i])) < 1e-06 ); - assert( fabs( cimags(out[i]) - cimags (Result[i])) / fabs (cimags (out[i])) < 1e-06); - - } - - - -} - - - - - -static int testFloatVariance (void) { - printf("\n\n\n\n*********************\n"); - printf("***** Float Tests ****\n"); - printf("*********************\n"); - - printf("\n\t>>>>singleton real Tests\n"); - scolumnvariancesTest () ; - svariancesTest () ; - srowvariancesTest () ; - - - printf("\n\t>>>>singleton complex Tests\n"); - - crowvariancesTest () ; - ccolumnvariancesTest () ; - cvariancesTest () ; - - - - printf("\n\t>>>>array real Tests\n"); - - svarianceaTest () ; - - scolumnvarianceaTest () ; - srowvarianceaTest ( ); - - - printf("\n\t>>>>array complex Tests\n"); - - cvarianceaTest () ; - crowvarianceaTest ( ); - ccolumnvarianceaTest () ; - - - return 0; -} - -int main(void) { - assert(testFloatVariance () == 0); - return 0; -} diff --git a/src/statisticsFunctions/variance/testFloatVarianceNono.c b/src/statisticsFunctions/variance/testFloatVarianceNono.c deleted file mode 100644 index bb01a02e..00000000 --- a/src/statisticsFunctions/variance/testFloatVarianceNono.c +++ /dev/null @@ -1,364 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2006-2008 - INRIA - Bruno JOFRET - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" -#include "assert.h" - -static int floatVariance(void){ - - int i; - - - /*test 1 */ - { - float matrice[20]={1.0f,5.0f,9.0f,4.0f,8.0f,2.0f,6.0f,1.0f,5.0f,9.0f,3.0f,7.0f,2.0f,6.0f,1.0f,4.0f,8.0f,3.0f,7.0f,2.0f}; - float out, *outColumns, *outRows; - float result= 7.5026315789473692063893f; - float resultColumns[5]= {1.6666666666666667406815f ,1.6666666666666667406815f ,12.916666666666666074548f ,1.6666666666666667406815f ,16.666666666666667850905f}; - float resultRows[4]={10.300000000000000710543f , 10.300000000000000710543f , 6.7000000000000001776357f , 6.7000000000000001776357f}; - - - - outColumns= (float*)malloc((unsigned int)5*sizeof(float)); - outRows= (float*)malloc((unsigned int)4*sizeof(float)); - - out = svariancea(matrice,20); - srowvariancea(matrice,5,4,outRows); - scolumnvariancea(matrice,5,4,outColumns); - - - printf("Variance \n"); - printf("%f\n",out); - printf("Row Variance \n"); - for (i=0;i<4;i++) printf("%f\n",outRows[i]); - printf("Column Variance \n"); - for (i=0;i<5;i++) printf("%f\n",outColumns[i]); - - - assert(fabs(out-result)/fabs(out) <1e-06); - for (i=0;i<4;i++)assert(fabs(outRows[i]-resultRows[i])/fabs(outRows[i]) <1e-06); - - for (i=0;i<5;i++)assert(fabs(outColumns[i]-resultColumns[i])/fabs(outColumns[i]) <1e-06); - - free(outColumns); - free(outRows); - } - - - /* test 2 */ - - { - float mtovar[70]={0.2113248654641211032867f,0.7560438541695475578308f,0.0002211346291005611420f, - 0.3303270917385816574097f,0.6653811042197048664093f,0.6283917883411049842835f, - 0.8497452358715236186981f, - 0.6857310198247432708740f,0.8782164813019335269928f,0.0683740368112921714783f, - 0.5608486062847077846527f,0.6623569373041391372681f,0.7263506767340004444122f, - 0.1985143842175602912903f, - 0.5442573162727057933807f,0.2320747897028923034668f,0.2312237196601927280426f, - 0.2164632631465792655945f,0.8833887814544141292572f,0.6525134947150945663452f, - 0.3076090742833912372589f, - 0.9329616213217377662659f,0.2146007861010730266571f,0.3126419968903064727783f, - 0.3616361008025705814362f,0.2922266637906432151794f,0.5664248815737664699554f, - 0.4826471973210573196411f, - 0.3321718913502991199493f,0.5935094701126217842102f,0.5015341597609221935272f, - 0.4368587583303451538086f,0.2693124809302389621735f,0.6325744865462183952332f, - 0.4051954015158116817474f, - 0.9184707831591367721558f,0.0437334333546459674835f,0.4818508932366967201233f, - 0.2639556000940501689911f,0.4148103706538677215576f,0.2806498021818697452545f, - 0.1280058464035391807556f, - 0.7783128595910966396332f,0.2119030449539422988892f,0.1121354666538536548615f, - 0.6856895955279469490051f,0.1531216683797538280487f,0.6970850601792335510254f, - 0.8415518426336348056793f, - 0.4062024755403399467468f,0.4094825475476682186127f,0.8784125801175832748413f, - 0.1138359685428440570831f,0.1998337740078568458557f,0.5618660743348300457001f, - 0.5896177329123020172119f, - 0.6853979662992060184479f,0.8906224733218550682068f,0.5042212805710732936859f, - 0.3493615407496690750122f,0.3873778772540390491486f,0.9222898678854107856751f, - 0.9488184261135756969452f, - 0.3435337245464324951172f,0.3760118731297552585602f,0.7340940563008189201355f, - 0.2615761472843587398529f,0.4993493836373090744019f,0.2638578419573605060577f, - 0.5253563085570931434631f}; - float out2, *outColumns2, *outRows2; - float result2= 0.0651863337585355667736f ; - float resultColumns2[7]= {0.0650391675869589902526f , - 0.0913789208052724344356f , - 0.0837863718398224738282f , - 0.0281545517812518443501f , - 0.0549594706400152802073f , - 0.0389978730537587012228f , - 0.0796657637071630925218f , - }; - float resultRows2[10]={0.0988544518240001696130f , 0.0874673050908554156058f , 0.0678199050579095519264f, 0.0591380787668954188696f , 0.0175386373980947855855f ,0.0831815708684833926556f , 0.1035239817400336881370f, 0.0657802543744439444096f , 0.0667446022405332184402f , 0.0287884625084994134891f}; - - - outColumns2= (float*)malloc((unsigned int)7*sizeof(float)); - outRows2= (float*)malloc((unsigned int)10*sizeof(float)); - - - - out2 = svariancea(mtovar,70); - srowvariancea(mtovar,7,10,outRows2); - scolumnvariancea(mtovar,7,10,outColumns2); - - - printf("Variance 2 \n"); - printf("%f\n",out2); - printf("Row Variance 2 \n"); - for (i=0;i<10;i++) printf("%f\n",outRows2[i]); - printf("Column Variance 2 \n"); - for (i=0;i<7;i++) printf("%f\n",outColumns2[i]); - - assert(fabs(out2-result2)/fabs(out2) <1e-06); - for (i=0;i<10;i++)assert(fabs(outRows2[i]-resultRows2[i])/fabs(outRows2[i]) <1e-06); - - for (i=0;i<7;i++)assert(fabs(outColumns2[i]-resultColumns2[i])/fabs(outColumns2[i]) <1e-06); - - free(outColumns2); - free(outRows2); - - } - - - return 0; -} - - -static int floatComplexVariance(void){ - int i; - - /* test 1 */ - { - float inR[6]={0.9677053210325539112091f,0.5068534435704350471497f,0.523297640960663557053f,0.5596947595477104187012f, - 0.5617307000793516635895f,0.468176002614200115204f}; - float inI[6]={0.7794546722434461116791f,0.7901071812957525253296f,0.9808542062528431415558f,0.8187066102400422096252f, - 0.4256872381083667278290f,0.2461560554802417755127f}; - float varianceR=- 0.0428404140538702279950f; - float varianceI=0.0257955584577409802183f; - float rowVarianceR[3]={0.106135488505625180666f,- 0.0124835463256454722719f,- 0.01173948205902856229f}; - float rowVarianceI[3]={- 0.0049092287964376275095f,- 0.0059017052806824826100f,0.0167959854763351026929f}; - float colVarianceR[2]={- 0.0183554755457089394111f,- 0.1019751767306446843531f}; - float colVarianceI[2]={0.0109267784648201249365f,0.0249829946888768111846f}; - floatComplex *in, *rowVariance, *colVariance; - floatComplex out, *outRow, *outCol; - - in= (floatComplex*)malloc ((unsigned int)6*sizeof(floatComplex)); - outRow= (floatComplex*)malloc ((unsigned int)3*sizeof(floatComplex)); - outCol= (floatComplex*)malloc ((unsigned int)2*sizeof(floatComplex)); - - in=FloatComplexMatrix(inR,inI,6); - rowVariance=FloatComplexMatrix(rowVarianceR,rowVarianceI,3); - colVariance=FloatComplexMatrix(colVarianceR,colVarianceI,2); - - - out=cvariancea(in,6); - printf("Variance \n"); - printf("%f + %f *i\n",creals(out),cimags(out)); - - assert(fabs(creals(out)-varianceR)/fabs(creals(out)) <1e-6); - assert(fabs(cimags(out)-varianceI)/fabs(cimags(out)) <1e-6); - - - - - - crowvariancea(in,2,3,outRow); - printf("Row Variance \n"); - for (i=0;i<3;i++) printf("%1.20f + %1.20f *i\n",creals(outRow[i]),cimags(outRow[i])); - - - for (i=0;i<3;i++){ - assert(fabs(creals(outRow[i])-rowVarianceR[i])/fabs(creals(outRow[i])) <1e-6); - assert(fabs(cimags(outRow[i])-rowVarianceI[i])/fabs(cimags(outRow[i])) <3e-6); - } - - - - ccolumnvariancea(in,2,3,outCol); - printf("Column Variance \n"); - for (i=0;i<2;i++) printf("%f + %f *i\n",creals(outCol[i]),cimags(outCol[i])); - - - for (i=0;i<2;i++){ - assert(fabs(creals(outCol[i])-colVarianceR[i])/fabs(creals(outCol[i])) <1e-6); - assert(fabs(cimags(outCol[i])-colVarianceI[i])/fabs(cimags(outCol[i])) <3e-6); - } - - free(in); - free(outCol); - free(outRow); - - - } - - - printf("\n"); - printf("\n"); - printf("\n"); - printf("\n"); - - - /* test 2 */ - { - float inR[70]={0.0453502028249204158783f,0.2029444333165884017944f,0.7844273825176060199738f, - 0.2637536162510514259338f,0.4383276398293673992157f,0.866485897451639175415f, - 0.3792142109014093875885f,0.7668716078624129295349f,0.6006621322594583034515f, - 0.7856735605746507644653f, -0.7387115550227463245392f,0.5544260339811444282532f,0.9929149555973708629608f, - 0.9757428467273712158203f,0.3709622272290289402008f,0.3032238213345408439636f, - 0.9519520117901265621185f,0.7127858083695173263550f,0.119237006176263093948f, - 0.5009163180366158485413f, -0.3290053526870906352997f,0.4808946810662746429443f,0.3303695977665483951569f, - 0.6304475357756018638611f,0.2117190784774720668793f,0.4486023131757974624634f, - 0.5914509710855782032013f,0.6806742670014500617981f,0.0739296111278235912323f, - 0.9433694705367088317871f, -0.1286330693401396274567f,0.2019080771133303642273f,0.1969303428195416927338f, - 0.8928690161556005477905f,0.4617918957956135272980f,0.6251291716471314430237f, - 0.7059706593863666057587f,0.7018169648945331573486f,0.4087999747134745121002f, - 0.0636221384629607200623f, -0.0657393387518823146820f,0.5331004131585359573364f,0.0331581872887909412384f, - 0.3157835649326443672180f,0.3785823243670165538788f,0.4619523435831069946289f, - 0.6287369825877249240875f,0.2878515301272273063660f,0.3292048736475408077240f, - 0.4719233047217130661011f, -0.3353769634850323200226f,0.5553069720044732093811f,0.1196080814115703105927f, - 0.7613999657332897186279f,0.4790988476015627384186f,0.2816969295963644981384f, - 0.2380097783170640468597f,0.3294205460697412490845f,0.2306728032417595386505f, - 0.2136296601966023445129f, -0.4054998042993247509003f,0.3095371201634407043457f,0.6762971603311598300934f, - 0.970691631548106670380f,0.5441796570084989070892f,0.0204747971147298812866f, - 0.8941364963538944721222f,0.3490363890305161476135f,0.1105365152470767498016f, - 0.2023377753794193267822f}; - float inI[70]={1.0377217042259871959686f,1.9830380710773169994354f,-0.6786614381708204746246f, - -1.7368789152242243289948f,0.6849579229019582271576f,-1.9756898251362144947052f, 0.9018773441202938556671f,0.4113956945948302745819f,0.0771432374604046344757f, - -2.6145569621585309505463f, --0.8694803346879780292511f,1.1954508102498948574066f,1.0175080369226634502411f, - -1.86952689336612820625f,1.6495719677768647670746f,-1.1282413271255791187286f, - 1.7159116868861019611359f,1.3512618443928658962250f,1.6467350018210709095001f, - -4.3247690196149051189423f, --1.1214177873916923999786f,0.3549467395059764385223f,1.5090364827774465084076f, - 0.0271988785825669765472f,-0.3927204073406755924225f,-2.2866433826275169849396f, - 2.4531399612314999103546f,1.2140426929108798503876f,0.1123848785646259784699f, - -1.2278760573826730251312f, -0.5748759503476321697235f,0.1001535071991384029388f,0.7154782521538436412811f, - -0.3598340046592056751251f,0.1114491275511682033539f,-1.0214430955238640308380f, - 1.8411546354182064533234f,1.3313704966567456722260f,0.107393887359648942947f, - -2.1405860441736876964569f, --0.1921784919686615467072f,-0.0941377175040543079376f,-0.3007089742459356784821f, - -1.6332105011679232120514f,-0.9827875629998743534088f,-4.0793808070011436939240f, - 1.6021160488016903400421f,0.5996482106857001781464f,-1.0103867049328982830048f, - -1.9795853956602513790131f, --0.7019297261722385883331f,0.1910370937548577785492f,0.5148729826323688030243f, - -1.2210475285537540912628f,1.4409833527170121669769f,-2.0624672439880669116974f, - 2.2999203805811703205109f,1.6434787488542497158051f,-0.0813916879706084728241f, - -4.3653216282837092876434f, -0.0896512451581656932831f,1.4530082489363849163055f,-0.1911182911135256290436f, - -1.5278804996050894260406f,-0.8655951828695833683014f,-2.6959278550930321216583f, - 1.089711368549615144730f,0.2611377011053264141083f,-0.0787748913280665874481f, - -1.675187868531793355942f}; - float varianceR=- 2.3201230329620456949158f; - float varianceI=0.0135359053960125846894f; - float rowVarianceR[7]={- 2.1748250359163439071608f,- 4.0055927597555047725564f,- 1.9380991813636070375537f,- 1.211164632384367667584f, - - 2.3819157100812309302285f,- 3.865411523472068289209f,- 1.5488286339908912125907f}; - float rowVarianceI[7]={- 0.5161401892195496277083f,- 0.0302397956223948334575f,0.0072526988331105511632f,0.2035074619460965072992f, - - 0.0227578793067023492369f,0.0176453877563822227048f,0.2048099414748655033858f}; - float colVarianceR[10]={ - 0.5673920596394929072304f, - - 0.6095831761740567733554f, - - 0.4837275005370789138226f, - - 0.4518709923747168399899f, - - 1.1155710732654480210613f, - - 0.9922425930742954092168f, - - 0.2615272073355465187738f, - - 0.2448899237808548345896f, - - 0.5783271525148965253038f, - - 1.4662540245146995498970f }; - float colVarianceI[10]={ - 0.2519451287679840834066f, - - 0.1132720366896080160801f, - - 0.0393753052279357945720f , - 0.0678956480014177715665f , - 0.0165011281984272333012f , - 0.1043646242921155153915f , - - 0.0697520473529744805541f , - 0.0395755738577838397929f , - - 0.0906906077772287183558f , - 0.2030521845859689644698f }; - floatComplex *in, *rowVariance, *colVariance; - floatComplex out, *outRow, *outCol; - - in= (floatComplex*)malloc ((unsigned int)70*sizeof(floatComplex)); - outRow= (floatComplex*)malloc ((unsigned int)7*sizeof(floatComplex)); - outCol= (floatComplex*)malloc ((unsigned int)10*sizeof(floatComplex)); - - in=FloatComplexMatrix(inR,inI,70); - rowVariance=FloatComplexMatrix(rowVarianceR,rowVarianceI,7); - colVariance=FloatComplexMatrix(colVarianceR,colVarianceI,10); - - - out=cvariancea(in,70); - printf("Variance 2 \n"); - printf("%f + %f *i\n",creals(out),cimags(out)); - - assert(fabs(creals(out)-varianceR)/fabs(creals(out)) <1e-6); - assert(fabs(cimags(out)-varianceI)/fabs(cimags(out)) <3e-6); - - - - - - crowvariancea(in,10,7,outRow); - printf("Row Variance 2 \n"); - for (i=0;i<7;i++) printf("%1.20f + %1.20f *i\n",creals(outRow[i]),cimags(outRow[i])); - - - for (i=0;i<7;i++){ - assert(fabs(creals(outRow[i])-rowVarianceR[i])/fabs(creals(outRow[i])) <1e-6); - assert(fabs(cimags(outRow[i])-rowVarianceI[i])/fabs(cimags(outRow[i])) <3e-6); 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diff --git a/src/statisticsFunctions/variance/zcolumnvariancea.c b/src/statisticsFunctions/variance/zcolumnvariancea.c deleted file mode 100644 index bba80303..00000000 --- a/src/statisticsFunctions/variance/zcolumnvariancea.c +++ /dev/null @@ -1,34 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - - -#include "variance.h" - -void zcolumnvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out){ - - int i = 0 ; - - doubleComplex* transp = (doubleComplex*) malloc ( sizeof (doubleComplex) *(unsigned int) (lines*columns)); - - - - ztransposea ( in , lines , columns , transp ) ; - - - for ( i = 0; i < lines ; i++) - out[i] = zvariancea ( transp + i*columns , columns ) ; - - - free (transp); - -} - diff --git a/src/statisticsFunctions/variance/zrowvariancea.c b/src/statisticsFunctions/variance/zrowvariancea.c deleted file mode 100644 index 285889aa..00000000 --- a/src/statisticsFunctions/variance/zrowvariancea.c +++ /dev/null @@ -1,21 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -void zrowvariancea(doubleComplex *in, int lines, int columns, doubleComplex* out){ - - int i = 0 ; - - for ( i = 0; i < columns ; i++) - out[i] = zvariancea ( in + i*lines , lines ) ; -} diff --git a/src/statisticsFunctions/variance/zvariancea.c b/src/statisticsFunctions/variance/zvariancea.c deleted file mode 100644 index 92e2667d..00000000 --- a/src/statisticsFunctions/variance/zvariancea.c +++ /dev/null @@ -1,35 +0,0 @@ -/* - * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab - * Copyright (C) 2008-2008 - INRIA - Allan SIMON - * - * This file must be used under the terms of the CeCILL. - * This source file is licensed as described in the file COPYING, which - * you should have received as part of this distribution. The terms - * are also available at - * http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt - * - */ - -#include "variance.h" - -doubleComplex zvariancea(doubleComplex *in, int size) -{ - int i = 0 ; - - doubleComplex sum = DoubleComplex ( 0 , 0 ) ; - doubleComplex temp = DoubleComplex ( 0 , 0 ) ; - doubleComplex variance = DoubleComplex ( 0 , 0 ); - doubleComplex mean = zmeana ( in , size ) ; - - for ( i = 0 ; i < size ; i++) - { - temp = zdiffs( in[i] , mean ) ; - sum = zadds ( sum , zpows ( temp , DoubleComplex ( 2, 0) ) ); - } - - variance = zrdivs (sum , DoubleComplex ( (size - 1),0 )); - - return variance ; - -} - |