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RTOpPack: Extra C/C++ Code for Vector Reduction/Transformation Operators
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00001 /* 00002 // @HEADER 00003 // *********************************************************************** 00004 // 00005 // Moocho: Multi-functional Object-Oriented arCHitecture for Optimization 00006 // Copyright (2003) Sandia Corporation 00007 // 00008 // Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive 00009 // license for use of this work by or on behalf of the U.S. Government. 00010 // 00011 // Redistribution and use in source and binary forms, with or without 00012 // modification, are permitted provided that the following conditions are 00013 // met: 00014 // 00015 // 1. Redistributions of source code must retain the above copyright 00016 // notice, this list of conditions and the following disclaimer. 00017 // 00018 // 2. Redistributions in binary form must reproduce the above copyright 00019 // notice, this list of conditions and the following disclaimer in the 00020 // documentation and/or other materials provided with the distribution. 00021 // 00022 // 3. Neither the name of the Corporation nor the names of the 00023 // contributors may be used to endorse or promote products derived from 00024 // this software without specific prior written permission. 00025 // 00026 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00027 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00028 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00029 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00030 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00031 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00032 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00033 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00034 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00035 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00036 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00037 // 00038 // Questions? Contact Roscoe A. Bartlett (rabartl@sandia.gov) 00039 // 00040 // *********************************************************************** 00041 // @HEADER 00042 */ 00043 00044 #include "RTOp_ROp_num_bounded.h" 00045 #include "RTOp_obj_value_vtbl.h" 00046 #include "RTOp_reduct_sum_value.h" 00047 00048 /* Note that the reduction quantity that we are accumulating (num_bounded) */ 00049 /* is an integral type and really should be delcared as RTOp_index_type. */ 00050 /* However, the machinary is already there for accumulating an RTOp_value_type */ 00051 /* reduction object so this implementation is just lazy and uses a double */ 00052 /* for an integer. This should not slow things down very much and does */ 00053 /* not really waste any memory. */ 00054 00055 /* Implementation functions */ 00056 00057 static int RTOp_ROp_num_bounded_apply_op( 00058 const struct RTOp_RTOp_vtbl_t* vtbl, const void* obj_data 00059 , const int num_vecs, const struct RTOp_SubVector vecs[] 00060 , const int num_targ_vecs, const struct RTOp_MutableSubVector targ_vecs[] 00061 , RTOp_ReductTarget targ_obj ) 00062 { 00063 RTOp_value_type inf_bnd; 00064 RTOp_index_type sub_dim; 00065 const RTOp_value_type *xl_val; 00066 ptrdiff_t xl_val_s; 00067 const RTOp_value_type *xu_val; 00068 ptrdiff_t xu_val_s; 00069 RTOp_index_type num_bounded = 0; 00070 register RTOp_index_type k; 00071 00072 /* */ 00073 /* Validate the input */ 00074 /* */ 00075 if( num_vecs != 2 ) 00076 return RTOp_ERR_INVALID_NUM_VECS; 00077 assert( vecs ); 00078 if( num_targ_vecs != 0 ) 00079 return RTOp_ERR_INVALID_NUM_TARG_VECS; 00080 if( vecs[0].sub_dim != vecs[1].sub_dim ) /* Same sizes */ 00081 return RTOp_ERR_INCOMPATIBLE_VECS; 00082 00083 /* */ 00084 /* Get pointers to data */ 00085 /* */ 00086 00087 /* inf_bnd */ 00088 inf_bnd = *((RTOp_value_type*)obj_data); 00089 /* sub_dim */ 00090 sub_dim = vecs[0].sub_dim; 00091 /* xl */ 00092 xl_val = vecs[0].values; 00093 xl_val_s = vecs[0].values_stride; 00094 /* xl */ 00095 xu_val = vecs[1].values; 00096 xu_val_s = vecs[1].values_stride; 00097 00098 /* */ 00099 /* Count the number of bounded variables */ 00100 /* */ 00101 for( k = 0; k < sub_dim; ++k, xl_val += xl_val_s, xu_val += xu_val_s ) { 00102 if( *xl_val > -inf_bnd || *xu_val < +inf_bnd ) 00103 ++num_bounded; 00104 } 00105 00106 /* */ 00107 /* Add this to the result */ 00108 /* */ 00109 *((RTOp_value_type*)targ_obj) += num_bounded; 00110 00111 return 0; /* success? */ 00112 } 00113 00114 /* Virtual function table pointer */ 00115 const struct RTOp_RTOp_vtbl_t RTOp_ROp_num_bounded_vtbl = 00116 { 00117 &RTOp_obj_value_vtbl /* use simple scalar value type for object instance data */ 00118 ,&RTOp_obj_value_vtbl /* use simple scalar value type for target object */ 00119 ,"ROp_num_bounded" 00120 ,NULL 00121 ,RTOp_ROp_num_bounded_apply_op 00122 ,RTOp_reduct_sum_value 00123 ,RTOp_get_reduct_sum_value_op 00124 }; 00125 00126 /* Class specific functions */ 00127 00128 int RTOp_ROp_num_bounded_construct( RTOp_value_type inf_bnd, struct RTOp_RTOp* op ) 00129 { 00130 op->vtbl = &RTOp_ROp_num_bounded_vtbl; 00131 op->vtbl->obj_data_vtbl->obj_create( NULL, NULL, &op->obj_data ); 00132 *((RTOp_value_type*)op->obj_data) = inf_bnd; 00133 return 0; /* success? */ 00134 } 00135 00136 int RTOp_ROp_num_bounded_destroy( struct RTOp_RTOp* op ) 00137 { 00138 op->vtbl->obj_data_vtbl->obj_free(NULL,NULL,&op->obj_data); 00139 op->vtbl = NULL; 00140 return 0; /* success? */ 00141 } 00142 00143 int RTOp_ROp_num_bounded_set_inf_bnd( RTOp_value_type inf_bnd, struct RTOp_RTOp* op ) 00144 { 00145 *((RTOp_value_type*)op->obj_data) = inf_bnd; 00146 return 0; /* success? */ 00147 } 00148 00149 RTOp_index_type RTOp_ROp_num_bounded_val(RTOp_ReductTarget targ_obj) 00150 { 00151 return (RTOp_index_type)*((RTOp_value_type*)targ_obj); 00152 }
1.7.6.1