[787] | 1 | // Base class for numerical arrays
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| 2 | // R. Ansari, C.Magneville 03/2000
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| 3 |
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| 4 | #include "machdefs.h"
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| 5 | #include <stdio.h>
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| 6 | #include <stdlib.h>
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| 7 | #include "pexceptions.h"
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| 8 | #include "basarr.h"
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| 9 |
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[926] | 10 | /*!
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| 11 | \class SOPHYA::BaseArray
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| 12 | \ingroup TArray
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[2267] | 13 | Base class for template arrays with number of dimensions up to
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| 14 | \ref BASEARRAY_MAXNDIMS "BASEARRAY_MAXNDIMS".
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| 15 | This class is an abstract class and has no data connected to it.
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| 16 |
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[926] | 17 | Define base methods, enum and defaults for TArray , TMatrix and TVector.
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[2267] | 18 | BaseArray objects can be used in particular for performing operations on
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| 19 | arrays with unknown data types, or between arrays with different data types.
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[926] | 20 | */
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| 21 |
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[787] | 22 | // Variables statiques globales
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[894] | 23 | char * BaseArray::ck_op_msg_[6] =
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| 24 | {"???", "Size(int )", "IsPacked(int )"
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| 25 | ,"Stride(int )", "ElemCheckBound()", "operator()" };
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[1582] | 26 | sa_size_t BaseArray::max_nprt_ = 50;
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[1156] | 27 | int_4 BaseArray::prt_lev_ = 0;
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[804] | 28 | short BaseArray::default_memory_mapping = CMemoryMapping;
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[813] | 29 | short BaseArray::default_vector_type = ColumnVector;
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[1156] | 30 | sa_size_t BaseArray::openmp_size_threshold = 200000;
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[787] | 31 |
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[813] | 32 | // ------ Methodes statiques globales --------
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| 33 |
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[890] | 34 | //! Set maximum number of printed elements and print level
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| 35 | /*!
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| 36 | \param nprt : maximum number of print
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| 37 | \param lev : print level
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| 38 | */
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[1583] | 39 | void BaseArray::SetMaxPrint(sa_size_t nprt, int_4 lev)
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[787] | 40 | {
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| 41 | max_nprt_ = nprt;
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[813] | 42 | prt_lev_ = (lev < 3) ? lev : 3;
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[787] | 43 | }
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| 44 |
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[890] | 45 | //! Set Size threshold for parallel routine call
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| 46 | /*!
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| 47 | \param thr : thresold value
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| 48 | */
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[1156] | 49 | void BaseArray::SetOpenMPSizeThreshold(sa_size_t thr)
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[813] | 50 | {
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| 51 | openmp_size_threshold = thr;
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| 52 | }
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[787] | 53 |
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[813] | 54 |
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[894] | 55 | //! Compute totale size
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| 56 | /*!
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| 57 | \param ndim : number of dimensions
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| 58 | \param siz : array of size along the \b ndim dimensions
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| 59 | \param step[ndim] : step value
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| 60 | \param offset : offset value
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| 61 | \return Total size of the array
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| 62 | */
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[1156] | 63 | sa_size_t BaseArray::ComputeTotalSize(int_4 ndim, const sa_size_t * siz, sa_size_t step, sa_size_t offset)
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[787] | 64 | {
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[1156] | 65 | sa_size_t rs = step;
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| 66 | for(sa_size_t k=0; k<ndim; k++) rs *= siz[k];
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[787] | 67 | return(rs+offset);
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| 68 | }
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| 69 |
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[894] | 70 | //! Set Default Memory Mapping
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| 71 | /*!
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| 72 | \param mm : Memory Mapping type
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| 73 | \verbatim
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| 74 | mm == CMemoryMapping : C like memory mapping
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| 75 | mm == FortranMemoryMapping : Fortran like memory mapping
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| 76 | \endverbatim
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| 77 | \verbatim
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| 78 | # ===== For Matrices
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| 79 | *** MATHEMATICS: m(row,column) with indexes running [1,n])
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| 80 | | 11 12 13 |
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| 81 | matrix Math = Mmath= | 21 22 23 |
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| 82 | | 31 32 33 |
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| 83 | *** IDL, \b FORTRAN: indexes data in \b row-major format:
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| 84 | indexes arrays in (column,row) order.
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| 85 | index IDL running [0,n[ ; index FORTRAN running [1,n]
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| 86 | M in memory: [ 11 12 13 : 21 22 23 : 31 32 33 : ... ]
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| 87 | line 1 : line 2 : line 3 : ...
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| 88 | ex: Midl(0,2) = Mfor(1,3) = Mmath(3,1) = 31
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| 89 | Midl(2,0) = Mfor(3,1) = Mmath(1,3) = 13
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| 90 | *** C: indexes data in \b column-major format:
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| 91 | indexes arrays in [row][column] order.
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| 92 | index C running [0,n[
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| 93 | M in memory: [ 11 21 31 : 12 22 32 : 13 23 33 : ... ]
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| 94 | column 1 : column 2 : column 3 : ...
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| 95 | ex: Mc[2][0] = Mmath(3,1) = 31
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| 96 | Mc[0][2] = Mmath(1,3) = 13
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| 97 | *** RESUME diff Idl/Fortan/C/Math:
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| 98 | Midl(col-1,row-1) = Mfor(col,row) = Mc[row-1][col-1] = Mmath(row,col)
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| 99 | TRANSPOSE(column-major array) --> row-major array
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| 100 | \endverbatim
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| 101 | \return default memory mapping value
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| 102 | */
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[804] | 103 | short BaseArray::SetDefaultMemoryMapping(short mm)
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| 104 | {
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[813] | 105 | default_memory_mapping = (mm != CMemoryMapping) ? FortranMemoryMapping : CMemoryMapping;
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[804] | 106 | return default_memory_mapping;
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| 107 | }
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| 108 |
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[894] | 109 | //! Set Default Vector Type
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| 110 | /*!
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| 111 | \param vt : vector type (ColumnVector,RowVector)
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| 112 | \return default vector type value
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| 113 | */
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[813] | 114 | short BaseArray::SetDefaultVectorType(short vt)
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| 115 | {
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| 116 | default_vector_type = (vt != ColumnVector) ? RowVector : ColumnVector ;
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| 117 | return default_vector_type;
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| 118 | }
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[804] | 119 |
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[894] | 120 | //! Select Memory Mapping
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| 121 | /*!
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| 122 | Do essentially nothing.
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| 123 | \param mm : type of Memory Mapping (CMemoryMapping,FortranMemoryMapping)
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| 124 | \return return \b mm if it makes sense or default memory mapping value
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| 125 | \sa SetDefaultMemoryMapping
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| 126 | */
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[804] | 127 | short BaseArray::SelectMemoryMapping(short mm)
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| 128 | {
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| 129 | if ( (mm == CMemoryMapping) || (mm == FortranMemoryMapping) ) return (mm) ;
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| 130 | else return (default_memory_mapping);
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| 131 | }
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[894] | 132 |
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| 133 | //! Select Vector type
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| 134 | /*!
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| 135 | Do essentially nothing.
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| 136 | \param vt : vector type (ColumnVector,RowVector)
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| 137 | \return return \b vt if it makes sense or default vector type
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| 138 | \sa SetDefaultVectorType
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| 139 | */
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[813] | 140 | short BaseArray::SelectVectorType(short vt)
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| 141 | {
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| 142 | if ((vt == ColumnVector) || (vt == RowVector)) return(vt);
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| 143 | else return(default_vector_type);
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| 144 | }
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[804] | 145 |
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[894] | 146 | //! Update Memory Mapping
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| 147 | /*!
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| 148 | Update variables marowi_ macoli_ veceli_
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| 149 | \param mm : type of Memory Mapping (CMemoryMapping,FortranMemoryMapping)
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| 150 | \sa SetDefaultMemoryMapping
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| 151 | */
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[813] | 152 | void BaseArray::UpdateMemoryMapping(short mm)
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[804] | 153 | {
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[813] | 154 | short vt = default_vector_type;
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[804] | 155 | if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) ) mm = default_memory_mapping;
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| 156 | if (mm == CMemoryMapping) {
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[813] | 157 | marowi_ = 1; macoli_ = 0;
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[804] | 158 | }
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| 159 | else {
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[813] | 160 | marowi_ = 0; macoli_ = 1;
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| 161 | }
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| 162 |
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| 163 | if ( (ndim_ == 2) && ((size_[0] == 1) || (size_[1] == 1)) ) {
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| 164 | // Choix automatique Vecteur ligne ou colonne
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| 165 | if ( size_[macoli_] == 1) veceli_ = marowi_;
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| 166 | else veceli_ = macoli_;
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| 167 | }
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| 168 | else veceli_ = (vt == ColumnVector ) ? marowi_ : macoli_;
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[804] | 169 | }
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| 170 |
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[894] | 171 | //! Update Memory Mapping
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| 172 | /*!
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| 173 | \param a : Array to be compared with
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| 174 | \param mm : type of Memory Mapping or memory mapping transfert
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| 175 | (SameMemoryMapping,AutoMemoryMapping,CMemoryMapping,FortranMemoryMapping)
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| 176 | \sa SetDefaultMemoryMapping
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| 177 | */
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[804] | 178 | void BaseArray::UpdateMemoryMapping(BaseArray const & a, short mm)
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| 179 | {
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[813] | 180 | short vt = default_vector_type;
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| 181 | if (mm == SameMemoryMapping) {
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[804] | 182 | mm = ((a.marowi_ == 1) ? CMemoryMapping : FortranMemoryMapping);
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[813] | 183 | vt = (a.marowi_ == a.veceli_) ? ColumnVector : RowVector;
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| 184 | }
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| 185 | else if (mm == AutoMemoryMapping) mm = default_memory_mapping;
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| 186 |
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[804] | 187 | if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) ) mm = default_memory_mapping;
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| 188 | if (mm == CMemoryMapping) {
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[813] | 189 | marowi_ = 1; macoli_ = 0;
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[804] | 190 | }
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| 191 | else {
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[813] | 192 | marowi_ = 0; macoli_ = 1;
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| 193 | }
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| 194 | if ( (ndim_ == 2) && ((size_[0] == 1) || (size_[1] == 1)) ) {
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| 195 | // Choix automatique Vecteur ligne ou colonne
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| 196 | if ( size_[macoli_] == 1) veceli_ = marowi_;
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[1389] | 197 | else veceli_ = macoli_;
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[813] | 198 | }
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| 199 | else veceli_ = (vt == ColumnVector ) ? marowi_ : macoli_;
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[804] | 200 | }
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| 201 |
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[894] | 202 | //! Set Memory Mapping type
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| 203 | /*!
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| 204 | Compute values for variables marowi_ macoli_ veceli_
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| 205 | \param mm : Memory Mapping type (SameMemoryMapping,AutoMemoryMapping
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| 206 | ,CMemoryMapping,FortranMemoryMapping)
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| 207 | \sa SetDefaultMemoryMapping
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| 208 | */
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[813] | 209 | void BaseArray::SetMemoryMapping(short mm)
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| 210 | {
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[1636] | 211 | if (mm == SameMemoryMapping) mm = GetMemoryMapping();
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| 212 | else if (mm == AutoMemoryMapping) mm = default_memory_mapping;
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| 213 | if ( (mm != CMemoryMapping) && (mm != FortranMemoryMapping) ) mm = CMemoryMapping;
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| 214 | short vt = GetVectorType();
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[813] | 215 | if (mm == CMemoryMapping) {
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| 216 | marowi_ = 1; macoli_ = 0;
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| 217 | }
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| 218 | else {
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| 219 | marowi_ = 0; macoli_ = 1;
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| 220 | }
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[1636] | 221 | if ( (ndim_ == 2) && ((size_[0] == 1) || (size_[1] == 1))
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| 222 | && (size_[0] != size_[1]) ) {
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[813] | 223 | // Choix automatique Vecteur ligne ou colonne
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| 224 | if ( size_[macoli_] == 1) veceli_ = marowi_;
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| 225 | else veceli_ = macoli_;
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| 226 | }
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[1636] | 227 | else veceli_ = (vt == ColumnVector ) ? marowi_ : macoli_;
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[813] | 228 | }
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[804] | 229 |
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[894] | 230 | //! Set Vector Type
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| 231 | /*!
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| 232 | Compute values for variable veceli_
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| 233 | \param vt : vector type ()
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| 234 | \sa SetDefaultVectorType
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| 235 | */
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[813] | 236 | void BaseArray::SetVectorType(short vt)
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| 237 | {
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| 238 | if (vt == SameVectorType) return;
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| 239 | if (vt == AutoVectorType) vt = default_vector_type;
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| 240 | if ( (ndim_ == 2) && ((size_[0] == 1) || (size_[1] == 1)) ) {
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| 241 | // Choix automatique Vecteur ligne ou colonne
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| 242 | if ( size_[macoli_] == 1) veceli_ = marowi_;
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| 243 | else veceli_ = macoli_;
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| 244 | }
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| 245 | else veceli_ = (vt == ColumnVector ) ? marowi_ : macoli_;
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| 246 | }
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| 247 |
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[787] | 248 | // -------------------------------------------------------
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| 249 | // Methodes de la classe
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| 250 | // -------------------------------------------------------
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| 251 |
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[890] | 252 | //! Default constructor
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[787] | 253 | BaseArray::BaseArray()
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| 254 | : mInfo(NULL)
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| 255 | {
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| 256 | ndim_ = 0;
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[1156] | 257 | for(int_4 k=0; k<BASEARRAY_MAXNDIMS; k++) step_[k] = size_[k] = 0;
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[787] | 258 | totsize_ = 0;
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| 259 | minstep_ = 0;
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| 260 | moystep_ = 0;
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| 261 | offset_ = 0;
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[813] | 262 | // Default for matrices : Memory organisation and Vector type
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| 263 | if (default_memory_mapping == CMemoryMapping) {
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| 264 | marowi_ = 1; macoli_ = 0;
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| 265 | }
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| 266 | else {
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| 267 | marowi_ = 0; macoli_ = 1;
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| 268 | }
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| 269 | veceli_ = (default_vector_type == ColumnVector ) ? marowi_ : macoli_;
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[1099] | 270 | arrtype_ = 0; // Default Array type, not a Matrix or Vector
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| 271 |
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[787] | 272 | }
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| 273 |
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[890] | 274 | //! Destructor
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[787] | 275 | BaseArray::~BaseArray()
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| 276 | {
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[2412] | 277 | if (mInfo) { delete mInfo; mInfo = NULL; }
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[787] | 278 | }
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| 279 |
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| 280 |
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[1099] | 281 | //! Returns true if the two arrays have compatible dimensions.
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[890] | 282 | /*!
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| 283 | \param a : array to be compared
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[1099] | 284 | \param smo : Return flag = true if the two arrays have the same memory organisation
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| 285 | \return true if \c NbDimensions() and \c Size() are equal, false if not
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| 286 |
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| 287 | If the array (on which the operation is being performed, \c this)
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| 288 | is a \b Matrix or a \b Vector, the matrix dimensions \c NRows() \c NCols()
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| 289 | are checked. The flag \c smo is returned true if the two arrays, viewed
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| 290 | as a matrix have the same memory organisation.
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| 291 | Otherwise, (if the array is of not a Matrix or a Vector)
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| 292 | the size compatibility viewed as a TArray is checked <tt>
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| 293 | (Size(k) == a.Size(k), k=0,...NbDimensions()), </tt> disregard of the memory
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| 294 | organisation and the row and column index. The flag \c smo is returned true
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| 295 | in this case.
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[890] | 296 | */
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[1517] | 297 | bool BaseArray::CompareSizes(const BaseArray& a, bool& smo) const
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[787] | 298 | {
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| 299 | if (ndim_ != a.ndim_) return(false);
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[1099] | 300 | if (arrtype_ == 0) { // Simple TArray, not a matrix
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| 301 | smo = true;
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[1156] | 302 | for(int_4 k=0; k<ndim_; k++)
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[1099] | 303 | if (size_[k] != a.size_[k]) return(false);
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| 304 | return(true);
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| 305 | }
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| 306 | else {
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| 307 | smo = false;
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[1103] | 308 | if ( (size_[marowi_] != a.size_[a.marowi_]) ||
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| 309 | (size_[macoli_] != a.size_[a.macoli_]) ) return(false);
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| 310 | if (ndim_ > 2)
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[1156] | 311 | for(int_4 k=2; k<ndim_; k++)
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[1103] | 312 | if (size_[k] != a.size_[k]) return(false);
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[1099] | 313 | if ( (macoli_ == a.macoli_) && (marowi_ == a.marowi_) ||
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| 314 | (veceli_ == a.veceli_) ) smo = true;
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| 315 | return(true);
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| 316 | }
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[787] | 317 | }
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| 318 |
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[894] | 319 | //! Change dimension if some size == 1
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[787] | 320 | void BaseArray::CompactAllDim()
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| 321 | {
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| 322 | if (ndim_ < 2) return;
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[1156] | 323 | int_4 ndim = 0;
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| 324 | sa_size_t size[BASEARRAY_MAXNDIMS];
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| 325 | sa_size_t step[BASEARRAY_MAXNDIMS];
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| 326 | for(int_4 k=0; k<ndim_; k++) {
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[787] | 327 | if (size_[k] < 2) continue;
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| 328 | size[ndim] = size_[k];
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| 329 | step[ndim] = step_[k];
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| 330 | ndim++;
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| 331 | }
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| 332 | if (ndim == 0) {
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| 333 | size[0] = size_[0];
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| 334 | step[0] = step_[0];
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| 335 | ndim = 1;
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| 336 | }
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| 337 | string exmsg = "BaseArray::CompactAllDim() ";
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| 338 | if (!UpdateSizes(ndim, size, step, offset_, exmsg)) throw( ParmError(exmsg) );
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| 339 | return;
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| 340 | }
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| 341 |
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[894] | 342 | //! Change dimension if some trailed size == 1
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[787] | 343 | void BaseArray::CompactTrailingDim()
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| 344 | {
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| 345 | if (ndim_ < 2) return;
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[1156] | 346 | int_4 ndim = 0;
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| 347 | sa_size_t size[BASEARRAY_MAXNDIMS];
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| 348 | sa_size_t step[BASEARRAY_MAXNDIMS];
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| 349 | for(int_4 k=0; k<ndim_; k++) {
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[787] | 350 | size[ndim] = size_[k];
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| 351 | step[ndim] = step_[k];
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| 352 | if (size_[k] > 1) ndim=k;
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| 353 | }
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| 354 | if (ndim == 0) ndim = 1;
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| 355 | string exmsg = "BaseArray::CompactTrailingDim() ";
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| 356 | if (!UpdateSizes(ndim, size, step, offset_, exmsg)) throw( ParmError(exmsg) );
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| 357 | return;
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| 358 | }
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| 359 |
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[894] | 360 | //! return minimum value for step[ndim]
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[1156] | 361 | int_4 BaseArray::MinStepKA() const
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[787] | 362 | {
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[1156] | 363 | for(int_4 ka=0; ka<ndim_; ka++)
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[1103] | 364 | if (step_[ka] == minstep_) return((int)ka);
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[787] | 365 | return(0);
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| 366 | }
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| 367 |
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[894] | 368 | //! return maximum value for step[ndim]
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[1156] | 369 | int_4 BaseArray::MaxSizeKA() const
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[787] | 370 | {
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[1156] | 371 | int_4 ka = 0;
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| 372 | sa_size_t mx = size_[0];
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| 373 | for(int_4 k=1; k<ndim_; k++)
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[1099] | 374 | if (size_[k] > mx) { ka = k; mx = size_[k]; }
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[787] | 375 | return(ka);
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| 376 | }
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| 377 |
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| 378 |
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| 379 | // Acces lineaire aux elements .... Calcul d'offset
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[813] | 380 | // --------------------------------------------------
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| 381 | // Position de l'element 0 du vecteur i selon l'axe ka
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| 382 | // --------------------------------------------------
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[894] | 383 | //! return position of first element for vector \b i alond \b ka th axe.
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[1156] | 384 | sa_size_t BaseArray::Offset(int_4 ka, sa_size_t i) const
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[813] | 385 | {
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[787] | 386 |
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[813] | 387 | if ( (ndim_ < 1) || (i == 0) ) return(offset_);
|
---|
| 388 | //#ifdef SO_BOUNDCHECKING
|
---|
| 389 | if (ka >= ndim_)
|
---|
[1156] | 390 | throw RangeCheckError("BaseArray::Offset(int_4 ka, sa_size_t i) Axe KA Error");
|
---|
[813] | 391 | if ( i*size_[ka] >= totsize_ )
|
---|
[1156] | 392 | throw RangeCheckError("BaseArray::Offset(int_4 ka, sa_size_t i) Index Error");
|
---|
[813] | 393 | //#endif
|
---|
[1156] | 394 | sa_size_t idx[BASEARRAY_MAXNDIMS];
|
---|
| 395 | int_4 k;
|
---|
| 396 | sa_size_t rest = i;
|
---|
[813] | 397 | idx[ka] = 0;
|
---|
| 398 | for(k=0; k<ndim_; k++) {
|
---|
| 399 | if (k == ka) continue;
|
---|
| 400 | idx[k] = rest%size_[k]; rest /= size_[k];
|
---|
| 401 | }
|
---|
[1156] | 402 | sa_size_t off = offset_;
|
---|
[813] | 403 | for(k=0; k<ndim_; k++) off += idx[k]*step_[k];
|
---|
| 404 | return (off);
|
---|
| 405 | }
|
---|
| 406 |
|
---|
[894] | 407 | //! return position of element \b ip.
|
---|
[1156] | 408 | sa_size_t BaseArray::Offset(sa_size_t ip) const
|
---|
[787] | 409 | {
|
---|
[813] | 410 | if ( (ndim_ < 1) || (ip == 0) ) return(offset_);
|
---|
| 411 | //#ifdef SO_BOUNDCHECKING
|
---|
| 412 | if (ip >= totsize_)
|
---|
[1156] | 413 | throw RangeCheckError("BaseArray::Offset(sa_size_t ip) Out of range index ip");
|
---|
[813] | 414 | //#endif
|
---|
| 415 |
|
---|
[1156] | 416 | sa_size_t idx[BASEARRAY_MAXNDIMS];
|
---|
| 417 | int_4 k;
|
---|
| 418 | sa_size_t rest = ip;
|
---|
[813] | 419 | for(k=0; k<ndim_; k++) {
|
---|
| 420 | idx[k] = rest%size_[k]; rest /= size_[k];
|
---|
| 421 | }
|
---|
| 422 | //#ifdef SO_BOUNDCHECKING
|
---|
| 423 | if (rest != 0)
|
---|
[1314] | 424 | throw PError("BaseArray::Offset(sa_size_t ip) BUG !!! rest != 0");
|
---|
[813] | 425 | //#endif
|
---|
| 426 | // if (rest != 0) cerr << " BUG ---- BaseArray::Offset( " << ip << " )" << rest << endl;
|
---|
| 427 | // cerr << " DBG-Offset( " << ip << ")" ;
|
---|
| 428 | // for(k=0; k<ndim_; k++) cerr << idx[k] << "," ;
|
---|
| 429 | // cerr << " ZZZZ " << endl;
|
---|
[1156] | 430 | sa_size_t off = offset_;
|
---|
[813] | 431 | for(k=0; k<ndim_; k++) off += idx[k]*step_[k];
|
---|
| 432 | return (off);
|
---|
[787] | 433 | }
|
---|
[1314] | 434 | //! return index of element \b ip, along the five array axes
|
---|
| 435 | void BaseArray::IndexAtPosition(sa_size_t ip, sa_size_t & ix, sa_size_t & iy,
|
---|
| 436 | sa_size_t & iz, sa_size_t & it, sa_size_t & iu) const
|
---|
| 437 | {
|
---|
| 438 | ix = iy = iz = it = iu = 0;
|
---|
| 439 | if ( (ndim_ < 1) || (ip == 0) ) return;
|
---|
| 440 | if (ip >= totsize_)
|
---|
| 441 | throw RangeCheckError("BaseArray::IndexAtPosition(...) Out of range index ip");
|
---|
| 442 | sa_size_t idx[BASEARRAY_MAXNDIMS];
|
---|
| 443 | int_4 k;
|
---|
| 444 | sa_size_t rest = ip;
|
---|
| 445 | for(k=0; k<ndim_; k++) {
|
---|
| 446 | idx[k] = rest%size_[k]; rest /= size_[k];
|
---|
| 447 | if (rest == 0) break;
|
---|
| 448 | }
|
---|
| 449 | if (rest != 0)
|
---|
| 450 | throw PError("BaseArray::IndexAtPosition(...) BUG !!! rest != 0");
|
---|
| 451 | ix = idx[0];
|
---|
| 452 | iy = idx[1];
|
---|
| 453 | iz = idx[2];
|
---|
| 454 | it = idx[3];
|
---|
| 455 | iu = idx[4];
|
---|
| 456 | return;
|
---|
| 457 | }
|
---|
[787] | 458 |
|
---|
[1099] | 459 | //! return various parameters for double loop operations on two arrays.
|
---|
[1156] | 460 | void BaseArray::GetOpeParams(const BaseArray& a, bool smo, int_4& ax, int_4& axa, sa_size_t& step,
|
---|
[1517] | 461 | sa_size_t& stepa, sa_size_t& gpas, sa_size_t& naxa) const
|
---|
[1099] | 462 | {
|
---|
| 463 | if (smo) { // Same memory organisation
|
---|
| 464 | ax = axa = MaxSizeKA();
|
---|
| 465 | }
|
---|
| 466 | else {
|
---|
| 467 | if (Size(RowsKA()) >= Size(ColsKA()) ) {
|
---|
| 468 | ax = RowsKA();
|
---|
| 469 | axa = a.RowsKA();
|
---|
| 470 | }
|
---|
| 471 | else {
|
---|
| 472 | ax = ColsKA();
|
---|
| 473 | axa = a.ColsKA();
|
---|
| 474 | }
|
---|
| 475 | }
|
---|
| 476 | step = Step(ax);
|
---|
| 477 | stepa = a.Step(axa);
|
---|
| 478 | gpas = Size(ax)*step;
|
---|
| 479 | naxa = Size()/Size(ax);
|
---|
| 480 | return;
|
---|
| 481 | }
|
---|
[787] | 482 |
|
---|
| 483 | // ----------------------------------------------------
|
---|
| 484 | // Impression, etc ...
|
---|
| 485 | // ----------------------------------------------------
|
---|
| 486 |
|
---|
[894] | 487 | //! Show infos on stream \b os (\b si to display DvList)
|
---|
[787] | 488 | void BaseArray::Show(ostream& os, bool si) const
|
---|
| 489 | {
|
---|
[850] | 490 | if (ndim_ < 1) {
|
---|
| 491 | os << "\n--- " << BaseArray::InfoString() << " Unallocated Array ! " << endl;
|
---|
| 492 | return;
|
---|
| 493 | }
|
---|
[813] | 494 | os << "\n--- " << InfoString() ;
|
---|
| 495 | os << " ND=" << ndim_ << " SizeX*Y*...= " ;
|
---|
[1156] | 496 | for(int_4 k=0; k<ndim_; k++) {
|
---|
[787] | 497 | os << size_[k];
|
---|
[813] | 498 | if (k<ndim_-1) os << "x";
|
---|
[787] | 499 | }
|
---|
[813] | 500 | os << " ---" << endl;
|
---|
| 501 | if (prt_lev_ > 0) {
|
---|
| 502 | os << " TotSize= " << totsize_ << " Step(X Y ...)=" ;
|
---|
[1156] | 503 | for(int_4 k=0; k<ndim_; k++) os << step_[k] << " " ;
|
---|
[813] | 504 | os << " Offset= " << offset_ << endl;
|
---|
| 505 | }
|
---|
| 506 | if (prt_lev_ > 1) {
|
---|
| 507 | os << " MemoryMapping=" << GetMemoryMapping() << " VecType= " << GetVectorType()
|
---|
| 508 | << " RowsKA= " << RowsKA() << " ColsKA= " << ColsKA()
|
---|
[1103] | 509 | << " VectKA=" << VectKA() << " ArrayType=" << arrtype_ << endl;
|
---|
[813] | 510 | }
|
---|
| 511 | if (!si && (prt_lev_ < 2)) return;
|
---|
| 512 | if (mInfo != NULL) os << (*mInfo) << endl;
|
---|
[787] | 513 |
|
---|
| 514 | }
|
---|
| 515 |
|
---|
[894] | 516 | //! Return BaseArray Type
|
---|
[813] | 517 | string BaseArray::InfoString() const
|
---|
| 518 | {
|
---|
| 519 | string rs = "BaseArray Type= ";
|
---|
| 520 | rs += typeid(*this).name() ;
|
---|
| 521 | return rs;
|
---|
| 522 | }
|
---|
[787] | 523 |
|
---|
[894] | 524 | //! Return attached DVList
|
---|
[787] | 525 | DVList& BaseArray::Info()
|
---|
| 526 | {
|
---|
| 527 | if (mInfo == NULL) mInfo = new DVList;
|
---|
| 528 | return(*mInfo);
|
---|
| 529 | }
|
---|
| 530 |
|
---|
[894] | 531 | //! Update sizes and information for array
|
---|
| 532 | /*!
|
---|
| 533 | \param ndim : dimension
|
---|
| 534 | \param siz[ndim] : sizes
|
---|
| 535 | \param step : step (must be the same on all dimensions)
|
---|
| 536 | \param offset : offset of the first element
|
---|
| 537 | \return true if all OK, false if problems appear
|
---|
| 538 | \return string \b exmsg for explanation in case of problems
|
---|
| 539 | */
|
---|
[1156] | 540 | bool BaseArray::UpdateSizes(int_4 ndim, const sa_size_t * siz, sa_size_t step, sa_size_t offset, string & exmsg)
|
---|
[787] | 541 | {
|
---|
| 542 | if (ndim >= BASEARRAY_MAXNDIMS) {
|
---|
| 543 | exmsg += " NDim Error"; return false;
|
---|
| 544 | }
|
---|
| 545 | if (step < 1) {
|
---|
| 546 | exmsg += " Step(=0) Error"; return false;
|
---|
| 547 | }
|
---|
| 548 |
|
---|
| 549 | minstep_ = moystep_ = step;
|
---|
| 550 |
|
---|
| 551 | // Flagging bad updates ...
|
---|
| 552 | ndim_ = 0;
|
---|
| 553 |
|
---|
| 554 | totsize_ = 1;
|
---|
[1156] | 555 | int_4 k;
|
---|
[787] | 556 | for(k=0; k<BASEARRAY_MAXNDIMS; k++) {
|
---|
| 557 | size_[k] = 1;
|
---|
| 558 | step_[k] = 0;
|
---|
| 559 | }
|
---|
| 560 | for(k=0; k<ndim; k++) {
|
---|
| 561 | size_[k] = siz[k] ;
|
---|
| 562 | step_[k] = totsize_*step;
|
---|
| 563 | totsize_ *= size_[k];
|
---|
| 564 | }
|
---|
| 565 | if (totsize_ < 1) {
|
---|
| 566 | exmsg += " Size Error"; return false;
|
---|
| 567 | }
|
---|
| 568 | offset_ = offset;
|
---|
| 569 | // Update OK
|
---|
| 570 | ndim_ = ndim;
|
---|
[1636] | 571 | // Default for matrices : Memory organisation and Vector type
|
---|
| 572 | SetMemoryMapping(BaseArray::SameMemoryMapping);
|
---|
[787] | 573 | return true;
|
---|
| 574 | }
|
---|
| 575 |
|
---|
[894] | 576 | //! Update sizes and information for array
|
---|
| 577 | /*!
|
---|
| 578 | \param ndim : dimension
|
---|
| 579 | \param siz[ndim] : sizes
|
---|
| 580 | \param step[ndim] : steps
|
---|
| 581 | \param offset : offset of the first element
|
---|
| 582 | \return true if all OK, false if problems appear
|
---|
| 583 | \return string \b exmsg for explanation in case of problems
|
---|
| 584 | */
|
---|
[1156] | 585 | bool BaseArray::UpdateSizes(int_4 ndim, const sa_size_t * siz, const sa_size_t * step, sa_size_t offset, string & exmsg)
|
---|
[787] | 586 | {
|
---|
| 587 | if (ndim >= BASEARRAY_MAXNDIMS) {
|
---|
| 588 | exmsg += " NDim Error"; return false;
|
---|
| 589 | }
|
---|
| 590 |
|
---|
| 591 | // Flagging bad updates ...
|
---|
| 592 | ndim_ = 0;
|
---|
| 593 |
|
---|
| 594 | totsize_ = 1;
|
---|
[1156] | 595 | int_4 k;
|
---|
[787] | 596 | for(k=0; k<BASEARRAY_MAXNDIMS; k++) {
|
---|
| 597 | size_[k] = 1;
|
---|
| 598 | step_[k] = 0;
|
---|
| 599 | }
|
---|
[1156] | 600 | sa_size_t minstep = step[0];
|
---|
[787] | 601 | for(k=0; k<ndim; k++) {
|
---|
| 602 | size_[k] = siz[k] ;
|
---|
| 603 | step_[k] = step[k];
|
---|
| 604 | totsize_ *= size_[k];
|
---|
| 605 | if (step_[k] < minstep) minstep = step_[k];
|
---|
| 606 | }
|
---|
| 607 | if (minstep < 1) {
|
---|
| 608 | exmsg += " Step(=0) Error"; return false;
|
---|
| 609 | }
|
---|
| 610 | if (totsize_ < 1) {
|
---|
| 611 | exmsg += " Size Error"; return false;
|
---|
| 612 | }
|
---|
[1156] | 613 | sa_size_t plast = 0;
|
---|
[787] | 614 | for(k=0; k<ndim; k++) plast += (siz[k]-1)*step[k];
|
---|
[1636] | 615 | if (plast == minstep*(totsize_-1) ) moystep_ = minstep;
|
---|
[787] | 616 | else moystep_ = 0;
|
---|
| 617 | minstep_ = minstep;
|
---|
| 618 | offset_ = offset;
|
---|
| 619 | // Update OK
|
---|
| 620 | ndim_ = ndim;
|
---|
[1636] | 621 | // Default for matrices : Memory organisation and Vector type
|
---|
| 622 | SetMemoryMapping(BaseArray::SameMemoryMapping);
|
---|
[787] | 623 | return true;
|
---|
| 624 | }
|
---|
| 625 |
|
---|
[894] | 626 | //! Update sizes and information relative to array \b a
|
---|
| 627 | /*!
|
---|
| 628 | \param a : array to be compare with
|
---|
| 629 | \return true if all OK, false if problems appear
|
---|
| 630 | \return string \b exmsg for explanation in case of problems
|
---|
| 631 | */
|
---|
[787] | 632 | bool BaseArray::UpdateSizes(const BaseArray& a, string & exmsg)
|
---|
| 633 | {
|
---|
| 634 | if (a.ndim_ >= BASEARRAY_MAXNDIMS) {
|
---|
| 635 | exmsg += " NDim Error"; return false;
|
---|
| 636 | }
|
---|
| 637 |
|
---|
| 638 | // Flagging bad updates ...
|
---|
| 639 | ndim_ = 0;
|
---|
| 640 |
|
---|
| 641 | totsize_ = 1;
|
---|
[1156] | 642 | int_4 k;
|
---|
[787] | 643 | for(k=0; k<BASEARRAY_MAXNDIMS; k++) {
|
---|
| 644 | size_[k] = 1;
|
---|
| 645 | step_[k] = 0;
|
---|
| 646 | }
|
---|
[1156] | 647 | sa_size_t minstep = a.step_[0];
|
---|
[787] | 648 | for(k=0; k<a.ndim_; k++) {
|
---|
| 649 | size_[k] = a.size_[k] ;
|
---|
| 650 | step_[k] = a.step_[k];
|
---|
| 651 | totsize_ *= size_[k];
|
---|
| 652 | if (step_[k] < minstep) minstep = step_[k];
|
---|
| 653 | }
|
---|
| 654 | if (minstep < 1) {
|
---|
| 655 | exmsg += " Step(=0) Error"; return false;
|
---|
| 656 | }
|
---|
| 657 | if (totsize_ < 1) {
|
---|
| 658 | exmsg += " Size Error"; return false;
|
---|
| 659 | }
|
---|
| 660 |
|
---|
| 661 | minstep_ = a.minstep_;
|
---|
| 662 | moystep_ = a.moystep_;
|
---|
| 663 | offset_ = a.offset_;
|
---|
| 664 | macoli_ = a.macoli_;
|
---|
| 665 | marowi_ = a.marowi_;
|
---|
[804] | 666 | veceli_ = a.veceli_;
|
---|
[787] | 667 | // Update OK
|
---|
| 668 | ndim_ = a.ndim_;
|
---|
| 669 | return true;
|
---|
| 670 | }
|
---|
| 671 |
|
---|
| 672 |
|
---|
[894] | 673 | //! Update sizes and information relative to array \b a
|
---|
| 674 | /*!
|
---|
| 675 | \param a : array to be compare with
|
---|
| 676 | \param ndim : could be change (but should be less than the ndim of the current class)
|
---|
| 677 | \param siz[ndim],pos[ndim],step[ndim] : could be changed but must be
|
---|
| 678 | compatible within the memory size with those of the current class.
|
---|
| 679 | \return true if all OK, false if problems appear
|
---|
| 680 | \return string \b exmsg for explanation in case of problems
|
---|
| 681 | */
|
---|
[1156] | 682 | void BaseArray::UpdateSubArraySizes(BaseArray & ra, int_4 ndim, sa_size_t * siz, sa_size_t * pos, sa_size_t * step) const
|
---|
[787] | 683 | {
|
---|
[804] | 684 | if ( (ndim > ndim_) || (ndim < 1) )
|
---|
| 685 | throw(SzMismatchError("BaseArray::UpdateSubArraySizes( ... ) NDim Error") );
|
---|
[1156] | 686 | int_4 k;
|
---|
[787] | 687 | for(k=0; k<ndim; k++)
|
---|
| 688 | if ( (siz[k]*step[k]+pos[k]) > size_[k] )
|
---|
[804] | 689 | throw(SzMismatchError("BaseArray::UpdateSubArraySizes( ... ) Size/Pos Error") );
|
---|
[1156] | 690 | sa_size_t offset = offset_;
|
---|
[787] | 691 | for(k=0; k<ndim_; k++) {
|
---|
| 692 | offset += pos[k]*step_[k];
|
---|
| 693 | step[k] *= step_[k];
|
---|
| 694 | }
|
---|
[804] | 695 | string exm = "BaseArray::UpdateSubArraySizes() ";
|
---|
[787] | 696 | if (!ra.UpdateSizes(ndim, siz, step, offset, exm))
|
---|
| 697 | throw( ParmError(exm) );
|
---|
| 698 | return;
|
---|
| 699 | }
|
---|
| 700 |
|
---|
| 701 |
|
---|