| 1 | /* |
| 2 | * NNc_array.hpp |
| 3 | * |
| 4 | * Created on: Feb 6, 2018 |
| 5 | * Author: i-bird |
| 6 | */ |
| 7 | |
| 8 | #ifndef OPENFPM_DATA_SRC_NN_CELLLIST_NNC_ARRAY_HPP_ |
| 9 | #define OPENFPM_DATA_SRC_NN_CELLLIST_NNC_ARRAY_HPP_ |
| 10 | |
| 11 | #include "Grid/grid_sm.hpp" |
| 12 | #include <boost/mpl/bool.hpp> |
| 13 | |
| 14 | /*! \brief Set a dimension threshold |
| 15 | * |
| 16 | * \param dim dimension |
| 17 | * |
| 18 | */ |
| 19 | template<unsigned int dim> |
| 20 | struct as_array_nnc |
| 21 | { |
| 22 | //! true only if dimension is smaller than 10 |
| 23 | typedef boost::mpl::bool_< dim < 10 > type; |
| 24 | }; |
| 25 | |
| 26 | /* \brief NNc_array |
| 27 | * |
| 28 | * \param size |
| 29 | * |
| 30 | */ |
| 31 | template<unsigned int dim, unsigned int size, bool thr = as_array_nnc<dim>::type::value> |
| 32 | class NNc_array |
| 33 | { |
| 34 | //! NNc_array |
| 35 | long int NNc_arr[size]; |
| 36 | |
| 37 | //! size of the cell array on each dimension |
| 38 | grid_sm<dim,void> gs; |
| 39 | |
| 40 | public: |
| 41 | |
| 42 | /*! \brief Set the size in each |
| 43 | * |
| 44 | * \param sz size og the cell grid in each dimensions |
| 45 | * |
| 46 | */ |
| 47 | void set_size(const size_t (& sz)[dim]) |
| 48 | { |
| 49 | gs.setDimensions(sz); |
| 50 | } |
| 51 | |
| 52 | /*! \brief return the element i |
| 53 | * |
| 54 | * \return element i |
| 55 | * |
| 56 | */ |
| 57 | inline const long int & operator[](size_t i) const |
| 58 | { |
| 59 | return NNc_arr[i]; |
| 60 | } |
| 61 | |
| 62 | /*! \brief return the element i |
| 63 | * |
| 64 | * \return element i |
| 65 | * |
| 66 | */ |
| 67 | inline long int & operator[](size_t i) |
| 68 | { |
| 69 | return NNc_arr[i]; |
| 70 | } |
| 71 | |
| 72 | /*! \brief Initialize the NNc array with full neighborhood cells indexes |
| 73 | * |
| 74 | * |
| 75 | */ |
| 76 | void init_full() |
| 77 | { |
| 78 | typedef typename generate_array<size_t,dim, Fill_zero>::result NNzero; |
| 79 | typedef typename generate_array<size_t,dim, Fill_two>::result NNtwo; |
| 80 | typedef typename generate_array<size_t,dim, Fill_one>::result NNone; |
| 81 | |
| 82 | // Generate the sub-grid iterator |
| 83 | |
| 84 | grid_key_dx_iterator_sub<dim> gr_sub3(gs,NNzero::data,NNtwo::data); |
| 85 | |
| 86 | // Calculate the NNc array |
| 87 | |
| 88 | size_t middle = gs.LinId(NNone::data); |
| 89 | size_t i = 0; |
| 90 | while (gr_sub3.isNext()) |
| 91 | { |
| 92 | NNc_arr[i] = (long int)gs.LinId(gr_sub3.get()) - middle; |
| 93 | |
| 94 | ++gr_sub3; |
| 95 | i++; |
| 96 | } |
| 97 | } |
| 98 | |
| 99 | |
| 100 | /*! \brief Initialize the NNc array with symmetric neighborhood cells indexes |
| 101 | * |
| 102 | * |
| 103 | */ |
| 104 | void init_sym() |
| 105 | { |
| 106 | // compile-time array {0,0,0,....} {2,2,2,...} {1,1,1,...} |
| 107 | |
| 108 | typedef typename generate_array<size_t,dim, Fill_zero>::result NNzero; |
| 109 | typedef typename generate_array<size_t,dim, Fill_two>::result NNtwo; |
| 110 | typedef typename generate_array<size_t,dim, Fill_one>::result NNone; |
| 111 | |
| 112 | size_t middle = gs.LinId(NNone::data); |
| 113 | |
| 114 | // Generate the sub-grid iterator |
| 115 | |
| 116 | grid_key_dx_iterator_sub<dim> gr_sub3(gs,NNzero::data,NNtwo::data); |
| 117 | |
| 118 | // Calculate the NNc_sym array |
| 119 | |
| 120 | size_t i = 0; |
| 121 | while (gr_sub3.isNext()) |
| 122 | { |
| 123 | auto key = gr_sub3.get(); |
| 124 | |
| 125 | size_t lin = gs.LinId(key); |
| 126 | |
| 127 | // Only the first half is considered |
| 128 | if (lin < middle) |
| 129 | { |
| 130 | ++gr_sub3; |
| 131 | continue; |
| 132 | } |
| 133 | |
| 134 | NNc_arr[i] = lin - middle; |
| 135 | |
| 136 | ++gr_sub3; |
| 137 | i++; |
| 138 | } |
| 139 | } |
| 140 | |
| 141 | /*! \brief return the pointer to the array |
| 142 | * |
| 143 | * \return the pointer |
| 144 | * |
| 145 | */ |
| 146 | const long int * getPointer() const |
| 147 | { |
| 148 | return NNc_arr; |
| 149 | } |
| 150 | |
| 151 | /*! \brief Copy the NNc_array |
| 152 | * |
| 153 | * \param nnc NNc_array to copy |
| 154 | * |
| 155 | */ |
| 156 | NNc_array<dim,size,thr> & operator=(const NNc_array<dim,size,thr> & nnc) |
| 157 | { |
| 158 | std::copy(&nnc.NNc_arr[0],&nnc.NNc_arr[size],&NNc_arr[0]); |
| 159 | gs = nnc.gs; |
| 160 | |
| 161 | return *this; |
| 162 | } |
| 163 | |
| 164 | /*! \brief swap NNc_array |
| 165 | * |
| 166 | * \param nnc NNc_array to copy |
| 167 | * |
| 168 | */ |
| 169 | void swap(NNc_array<dim,size,thr> & nnc) |
| 170 | { |
| 171 | gs.swap(nnc.gs); |
| 172 | |
| 173 | long int NNc_full_tmp[openfpm::math::pow(3,dim)]; |
| 174 | |
| 175 | std::copy(&nnc.NNc_arr[0],&nnc.NNc_arr[size],&NNc_full_tmp[0]); |
| 176 | std::copy(&NNc_arr[0],&NNc_arr[size],&nnc.NNc_arr[0]); |
| 177 | std::copy(&NNc_full_tmp[0],&NNc_full_tmp[size],&NNc_arr[0]); |
| 178 | } |
| 179 | }; |
| 180 | |
| 181 | /* \brief NNc_array |
| 182 | * |
| 183 | * It encapsulate a 3^{dim} array containing the neighborhood cells-id |
| 184 | * |
| 185 | * \tparam dim dimensionality |
| 186 | * \tparam size total number of neighborhood cells |
| 187 | * |
| 188 | */ |
| 189 | template<unsigned int dim, unsigned int size> |
| 190 | class NNc_array<dim,size,false> |
| 191 | { |
| 192 | //! NNc_array is a grid in general 3^{dim}, this object contain the information |
| 193 | //! about this grid |
| 194 | grid_sm<dim,void> gs; |
| 195 | |
| 196 | //! Information about the grid in the reduced space |
| 197 | grid_sm<dim,void> gs_base; |
| 198 | |
| 199 | //! |
| 200 | size_t sub_off; |
| 201 | size_t sym_mid; |
| 202 | |
| 203 | bool full_or_sym; |
| 204 | |
| 205 | public: |
| 206 | |
| 207 | /*! \brief set the size of the cell grid |
| 208 | * |
| 209 | * \param sz[dim] size of the cell grid in each dimension |
| 210 | * |
| 211 | */ |
| 212 | void set_size(const size_t (& sz)[dim]) |
| 213 | { |
| 214 | typedef typename generate_array<size_t,dim, Fill_three>::result NNthree; |
| 215 | |
| 216 | gs.setDimensions(sz); |
| 217 | gs_base.setDimensions(NNthree::data); |
| 218 | |
| 219 | typedef typename generate_array<size_t,dim, Fill_one>::result NNone; |
| 220 | sub_off = gs.LinId(NNone::data); |
| 221 | sym_mid = gs_base.LinId(NNone::data); |
| 222 | } |
| 223 | |
| 224 | /*! \brief return the element i |
| 225 | * |
| 226 | * \return element i |
| 227 | * |
| 228 | */ |
| 229 | long int operator[](size_t i) const |
| 230 | { |
| 231 | if (full_or_sym == true) |
| 232 | { |
| 233 | grid_key_dx<dim> key = gs_base.InvLinId(i); |
| 234 | return gs.LinId(key) - sub_off; |
| 235 | } |
| 236 | |
| 237 | grid_key_dx<dim> key = gs_base.InvLinId(i + sym_mid); |
| 238 | return gs.LinId(key) - sub_off; |
| 239 | } |
| 240 | |
| 241 | void init_full() |
| 242 | { |
| 243 | full_or_sym = true; |
| 244 | } |
| 245 | |
| 246 | void init_sym() |
| 247 | { |
| 248 | full_or_sym = false; |
| 249 | } |
| 250 | |
| 251 | /*! \brief return the pointer to the array |
| 252 | * |
| 253 | * \return the pointer |
| 254 | * |
| 255 | */ |
| 256 | const long int * getPointer() const |
| 257 | { |
| 258 | std::cerr << __FILE__ << ":" << __LINE__ << " error dimension is too high to use this type of neighborhood" << std::endl; |
| 259 | return NULL; |
| 260 | } |
| 261 | |
| 262 | /*! \brief Copy the NNc_array |
| 263 | * |
| 264 | * \param nnc NNc_array to copy |
| 265 | * |
| 266 | */ |
| 267 | NNc_array<dim,size,false> & operator=(const NNc_array<dim,size,false> & nnc) |
| 268 | { |
| 269 | gs = nnc.gs; |
| 270 | gs_base = nnc.gs_base; |
| 271 | sub_off = nnc.sub_off; |
| 272 | sym_mid = nnc.sym_mid; |
| 273 | |
| 274 | full_or_sym = nnc.full_or_sym; |
| 275 | |
| 276 | return *this; |
| 277 | } |
| 278 | |
| 279 | /*! \brief swap the NNc_array |
| 280 | * |
| 281 | * \param nnc NNc_array to copy |
| 282 | * |
| 283 | */ |
| 284 | void swap(NNc_array<dim,size,false> & nnc) |
| 285 | { |
| 286 | gs.swap(nnc.gs); |
| 287 | gs_base.swap(nnc.gs_base); |
| 288 | |
| 289 | size_t sub_off_tmp = sub_off; |
| 290 | sub_off = nnc.sub_off; |
| 291 | nnc.sub_off = sub_off_tmp; |
| 292 | |
| 293 | size_t sym_mid_tmp = sym_mid; |
| 294 | sym_mid = nnc.sym_mid; |
| 295 | nnc.sym_mid = sym_mid_tmp; |
| 296 | |
| 297 | bool full_or_sym_tmp = full_or_sym; |
| 298 | full_or_sym = nnc.full_or_sym; |
| 299 | nnc.full_or_sym = full_or_sym_tmp; |
| 300 | } |
| 301 | }; |
| 302 | |
| 303 | |
| 304 | #endif /* OPENFPM_DATA_SRC_NN_CELLLIST_NNC_ARRAY_HPP_ */ |
| 305 | |